Mpeg7
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MPEG-7 is a multimedia content description standard that allows for fast and efficient searching of multimedia data. It provides standardized descriptions for various types of multimedia information like audio and video. MPEG-7 consists of parts for systems, description definition language, visual, audio, multimedia description schemes, reference software, conformance testing, and profiles and levels. Its goal is to make multimedia information as easy to find, retrieve, access, filter and manage as text-based information on the web.
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Mpeg 7
MPEG-7 is an international standard for describing multimedia content to allow for fast and efficient searching. It was created by the Moving Picture Experts Group to address the need to efficiently manage and search the large amount of multimedia data available online. MPEG-7 uses description schemes and tools like color, texture, shape, and motion descriptors to provide standardized descriptions of audiovisual information and facilitate searching, indexing, filtering and accessing multimedia content. It has applications in education, journalism, tourism and other areas where multimedia data needs to be organized and retrieved.
Mpeg 7 slides
MPEG-7 is a standard for describing multimedia content to allow users to more efficiently search, browse and retrieve audiovisual material. It was developed by the Moving Picture Experts Group in 2001. MPEG-7 defines descriptors and description schemes for features of multimedia using XML schema. It also includes tools for generating descriptions, and is used in applications like digital libraries, multimedia directories, broadcast media selection and e-business product searching.
Mpeg 7 slides
This document provides an overview of MPEG-7, a standard for describing multimedia content. MPEG-7 allows for searching, indexing, and accessing multimedia in an interoperable way. It defines tools like descriptors, description schemes, and a description definition language to represent features of audiovisual content. MPEG-7 provides standardized ways of describing visual and audio features as well as generic multimedia descriptions. It aims to make multimedia as searchable as text.
Mpeg 7 video signature tools for content recognition
The document discusses the MPEG-7 Video Signature standard for content recognition. It aims to efficiently search large databases of videos by extracting compact and robust signatures that can detect duplicate, edited, or embedded video clips. The standard includes algorithms for signature extraction and matching, and enables interoperability across systems for content identification and management. It achieves high detection accuracy for common editing operations like embedding clips in longer videos.
COMPARISON OF CINEPAK, INTEL, MICROSOFT VIDEO AND INDEO CODEC FOR VIDEO COMPR...
The file size and picture quality are factors to be considered for streaming, storage and transmitting videos
over networks. This work compares Cinepak, Intel, Microsoft Video and Indeo Codec for video
compression. The peak signal to noise ratio is used to compare the quality of such video compressed using
AVI codecs. The most widely used objective measurement by developers of video processing systems is
Peak Signal-to-Noise Ratio (PSNR). Peak Signal to Noise Ration is measured on a logarithmic scale and
depends on the mean squared error (MSE) between an original and an impaired image or video, relative to
(2n-1)2.
COMPARISON OF CINEPAK, INTEL, MICROSOFT VIDEO AND INDEO CODEC FOR VIDEO COMPR...
This document compares four video codecs - Cinepak, Intel Indeo, Microsoft Video, and Indeo Video - by measuring the peak signal-to-noise ratio (PSNR) of videos compressed with each codec. The document provides background on video compression standards and objective video quality measurement. It describes conducting an experiment where several video clips were compressed using the four codecs and their PSNR values calculated relative to the original uncompressed videos. PSNR was chosen as the quality metric since it can be easily calculated and produces repeatable results. The compressed videos were in AVI format to be analyzed by video quality assessment software.
Comparison of Cinepak, Intel, Microsoft Video and Indeo Codec for Video Compr...
The file size and picture quality are factors to be considered for streaming, storage and transmitting videos
over networks. This work compares Cinepak, Intel, Microsoft Video and Indeo Codec for video
compression. The peak signal to noise ratio is used to compare the quality of such video compressed using
AVI codecs. The most widely used objective measurement by developers of video processing systems is
Peak Signal-to-Noise Ratio (PSNR). Peak Signal to Noise Ration is measured on a logarithmic scale and
depends on the mean squared error (MSE) between an original and an impaired image or video, relative to
(2n-1)2.
Previous research done regarding assessing of video quality has been mainly by the use of subjective
methods, and there is still no standard method for objective assessments. Although it has been considered
that compression might not be significant in future as storage and transmission capabilities improve, but at
low bandwidths compression makes communication possible.
COMPARISON OF CINEPAK, INTEL, MICROSOFT VIDEO AND INDEO CODEC FOR VIDEO COMPR...
The file size and picture quality are factors to be considered for streaming, storage and transmitting videos
over networks. This work compares Cinepak, Intel, Microsoft Video and Indeo Codec for video
compression. The peak signal to noise ratio is used to compare the quality of such video compressed using
AVI codecs. The most widely used objective measurement by developers of video processing systems is
Peak Signal-to-Noise Ratio (PSNR). Peak Signal to Noise Ration is measured on a logarithmic scale and
depends on the mean squared error (MSE) between an original and an impaired image or video, relative to
(2n-1)2.
Previous research done regarding assessing of video quality has been mainly by the use of subjective
methods, and there is still no standard method for objective assessments. Although it has been considered
that compression might not be significant in future as storage and transmission capabilities improve, but at
low bandwidths compression makes communication possible
Recommended
Mpeg 7
MPEG-7 is an international standard for describing multimedia content to allow for fast and efficient searching. It was created by the Moving Picture Experts Group to address the need to efficiently manage and search the large amount of multimedia data available online. MPEG-7 uses description schemes and tools like color, texture, shape, and motion descriptors to provide standardized descriptions of audiovisual information and facilitate searching, indexing, filtering and accessing multimedia content. It has applications in education, journalism, tourism and other areas where multimedia data needs to be organized and retrieved.
Mpeg 7 slides
MPEG-7 is a standard for describing multimedia content to allow users to more efficiently search, browse and retrieve audiovisual material. It was developed by the Moving Picture Experts Group in 2001. MPEG-7 defines descriptors and description schemes for features of multimedia using XML schema. It also includes tools for generating descriptions, and is used in applications like digital libraries, multimedia directories, broadcast media selection and e-business product searching.
Mpeg 7 slides
This document provides an overview of MPEG-7, a standard for describing multimedia content. MPEG-7 allows for searching, indexing, and accessing multimedia in an interoperable way. It defines tools like descriptors, description schemes, and a description definition language to represent features of audiovisual content. MPEG-7 provides standardized ways of describing visual and audio features as well as generic multimedia descriptions. It aims to make multimedia as searchable as text.
Mpeg 7 video signature tools for content recognition
The document discusses the MPEG-7 Video Signature standard for content recognition. It aims to efficiently search large databases of videos by extracting compact and robust signatures that can detect duplicate, edited, or embedded video clips. The standard includes algorithms for signature extraction and matching, and enables interoperability across systems for content identification and management. It achieves high detection accuracy for common editing operations like embedding clips in longer videos.
COMPARISON OF CINEPAK, INTEL, MICROSOFT VIDEO AND INDEO CODEC FOR VIDEO COMPR...
The file size and picture quality are factors to be considered for streaming, storage and transmitting videos
over networks. This work compares Cinepak, Intel, Microsoft Video and Indeo Codec for video
compression. The peak signal to noise ratio is used to compare the quality of such video compressed using
AVI codecs. The most widely used objective measurement by developers of video processing systems is
Peak Signal-to-Noise Ratio (PSNR). Peak Signal to Noise Ration is measured on a logarithmic scale and
depends on the mean squared error (MSE) between an original and an impaired image or video, relative to
(2n-1)2.
COMPARISON OF CINEPAK, INTEL, MICROSOFT VIDEO AND INDEO CODEC FOR VIDEO COMPR...
This document compares four video codecs - Cinepak, Intel Indeo, Microsoft Video, and Indeo Video - by measuring the peak signal-to-noise ratio (PSNR) of videos compressed with each codec. The document provides background on video compression standards and objective video quality measurement. It describes conducting an experiment where several video clips were compressed using the four codecs and their PSNR values calculated relative to the original uncompressed videos. PSNR was chosen as the quality metric since it can be easily calculated and produces repeatable results. The compressed videos were in AVI format to be analyzed by video quality assessment software.
Comparison of Cinepak, Intel, Microsoft Video and Indeo Codec for Video Compr...
The file size and picture quality are factors to be considered for streaming, storage and transmitting videos
over networks. This work compares Cinepak, Intel, Microsoft Video and Indeo Codec for video
compression. The peak signal to noise ratio is used to compare the quality of such video compressed using
AVI codecs. The most widely used objective measurement by developers of video processing systems is
Peak Signal-to-Noise Ratio (PSNR). Peak Signal to Noise Ration is measured on a logarithmic scale and
depends on the mean squared error (MSE) between an original and an impaired image or video, relative to
(2n-1)2.
Previous research done regarding assessing of video quality has been mainly by the use of subjective
methods, and there is still no standard method for objective assessments. Although it has been considered
that compression might not be significant in future as storage and transmission capabilities improve, but at
low bandwidths compression makes communication possible.
COMPARISON OF CINEPAK, INTEL, MICROSOFT VIDEO AND INDEO CODEC FOR VIDEO COMPR...
The file size and picture quality are factors to be considered for streaming, storage and transmitting videos
over networks. This work compares Cinepak, Intel, Microsoft Video and Indeo Codec for video
compression. The peak signal to noise ratio is used to compare the quality of such video compressed using
AVI codecs. The most widely used objective measurement by developers of video processing systems is
Peak Signal-to-Noise Ratio (PSNR). Peak Signal to Noise Ration is measured on a logarithmic scale and
depends on the mean squared error (MSE) between an original and an impaired image or video, relative to
(2n-1)2.
Previous research done regarding assessing of video quality has been mainly by the use of subjective
methods, and there is still no standard method for objective assessments. Although it has been considered
that compression might not be significant in future as storage and transmission capabilities improve, but at
low bandwidths compression makes communication possible
Hw2
The document introduces several MPEG standards for audio and video compression and transmission, including MPEG-1, MPEG-2, MPEG-4, MPEG-7, and MPEG-21. MPEG-1 was the first standard and defines lossy compression for video and audio. It became the most widely compatible format for these media. MPEG-2 built upon MPEG-1 and is used widely for digital television and DVD formats. MPEG-4 added new features like 3D rendering and interactivity. MPEG-7 defined standards for multimedia content description and MPEG-21 aims to define an open framework for multimedia applications and digital rights management.
Performance evaluation of mpeg 4 video transmission over ip-networks
This document summarizes research evaluating the performance of transmitting MPEG-4 video over IP networks with and without quality of service (QoS). The researchers transmitted MPEG-4 video over a best-effort network and a QoS network in a simulation using NS-2. They measured peak signal noise ratio, throughput, and frame/packet statistics to compare the performance between the two networks. The results showed that transmitting video over the QoS network performed better than over the best-effort network.
11.performance evaluation of mpeg 0004www.iiste.org call for-paper video tran...
This document evaluates the performance of transmitting MPEG-4 video over IP networks using two different network types: best-effort and Quality of Service (QoS). The researchers used the NS-2 network simulator along with additional tools to encode video, transmit it over simulated networks, then evaluate the received video quality. Key performance metrics like peak signal-to-noise ratio (PSNR), throughput, and frame/packet statistics were calculated and compared between the best-effort and QoS networks. The results showed that transmitting MPEG-4 video over a QoS network achieved better performance than a best-effort network according to the measured metrics.
資訊理論與視訊壓縮 mpeg 7
This document provides an introduction and overview of MPEG-7. MPEG-7 is a multimedia content description standard that provides metadata for multimedia content to enable content to be found, retrieved, accessed, filtered and managed. It was created due to the growing amount of digital multimedia and need for better identification and management of content. The standard includes description tools like descriptors, descriptions and applications for content production and consumption.
A Study on FFmpeg Multimedia Framework
With the advancement in internet technology, everyone has access to the internet. After google, YouTube is the second largest search engine and approximately 1 billion hours are consumed by people to watch video contents on YouTube. Editing the video and processing is not very easy. Network also plays an important role. With an unsteady network it can cause video to buffer which can reduce the streaming experience of users. Many people don’t even have a good computer which can handle the editing of large video files as editing and processing the video utilizes hardware, software and both. Many video editing software are available on the internet. Either it can be paid or open source software. One of the most popular open source software available on the internet is FFmpeg Fast Forward Moving Picture Expert Group . FFmpeg with other various software together can be used for video forensic to find traces in videos. It becomes very difficult to find traces from videos that are highly compressed or the video has low resolution. In earlier times, fetching data from camera of robots and encoding the data with software generates an issue. JNI,NDK, FFmpeg, researching about these video annotations a video player was created to examine video of sports so that user can see the how player evaluates the action practically with efficiently. Demand of multimedia increase as times goes on. Today in this global pandemic, everyone has move to digitalization. From studies to working everything has been digitalized. In this paper we are going to study about FFmpeg, how it benefits user with its features. Combining this highly popular multimedia framework with other software can create some useful technologies. Well, FFmpeg is mostly known for its memory efficiency and time efficiency. From processing image to editing videos everything can be acquired from FFmpeg. H. Sumesh Singha | Dr. Bhuvana J "A Study on FFmpeg Multimedia Framework" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42362.pdf Paper URL: https://www.ijtsrd.comcomputer-science/other/42362/a-study-on-ffmpeg-multimedia-framework/h-sumesh-singha
Mpeg 7-21
MPEG-7 is a standard for describing multimedia content to enable search and retrieval of audiovisual information. It provides tools for describing multimedia content such as descriptors, description schemes, and a description definition language. The goal of MPEG-7 is to make multimedia content as searchable as text by providing metadata about features, structure, and semantics of audiovisual data.
MPEG Standards. Know What Video Format to Choose MPEG-2 or MPEG-4.pdf
Here are a few MPEG standards for video and audio compression coding and multimedia delivery. The most commonly used formats are MPEG-2 & MPEG-4.
multimedia mpeg-7
MPEG-7 is an international standard for describing multimedia content to enable searching, filtering, and browsing of audiovisual data. It provides descriptors for features like color, texture, shape, and motion to support content-based retrieval of images and video. MPEG-7 also defines description schemes and a description definition language to create structured descriptions of multimedia content. The standard aims to facilitate searching, identifying, filtering and browsing of multimedia content through both text-based and content-based retrieval methods.
Mpeg7
This document discusses several video formats:
- AVI is an older Microsoft format that provides a framework for compression algorithms and was widely used with early video editing software, though it has limitations like a 2GB file size limit.
- MOV originated on the Mac but was also used on PCs, and supports various codecs like QuickTime but also has platform limitations.
- MPEG formats like MPEG-1, MPEG-2 and MPEG-4 were developed to standardize video compression and are used for streaming video and video CD/DVD formats, with each newer standard supporting higher resolutions and functionality.
Last videoppt
This document describes a video conferencing software project that allows users to conduct video calls over an intranet. It uses Java Media Framework for multimedia capabilities, Java Swing for the user interface, and Java networking for peer-to-peer communication. The software captures audio and video using JMF, processes it, then sends the media over the network using RTP protocols. This allows two computers connected via intranet to conduct real-time video calls with synchronized audio and video streams.
Mpeg7
The document provides an introduction to MPEG-7, which is a standard for describing multimedia content. It discusses the background and need for MPEG-7, as well as the main components of MPEG-7 including the Description Definition Language (DDL) for defining descriptions, Multimedia Description Schemes (MDS) for organizing descriptors, and various audio and video descriptors. Application areas of MPEG-7 involve searching, indexing, and retrieving multimedia content across different domains.
FutureComm 2010: Video Quality Analysis and Measurement
This document summarizes RADVISION's video quality solutions. It discusses (1) factors that affect video quality like network conditions and content complexity, (2) RADVISION's video quality SDK and standalone testing suite that allow measuring and analyzing video quality in real-time, and (3) RADVISION's innovative research in areas like human vision databases and synchronization algorithms. The document emphasizes RADVISION's leadership in video quality assessment based on 17 years of experience in video conferencing.
Module 2 3
This document discusses the hardware and software requirements for multimedia computers. It covers several topics:
1. It describes different classes of multimedia applications including streaming stored/live audio and video, and real-time interactive audio and video.
2. It discusses various multimedia software like MCI, Video for Windows, QuickTime, DirectX, and authoring tools.
3. It outlines the hardware requirements for multimedia computers as defined by the MPC standards, including components like sound cards, video cards, network cards, and USB/MIDI ports.
A Personalized Audio Web Service using MPEG-7 and MPEG-21 standards
This document summarizes a paper that presents a personalized audio web service using MPEG-7 and MPEG-21 standards for metadata description and querying. The proposed system delivers personalized audio content to users based on their preferences stored using MPEG standards. It uses a decentralized architecture where user preferences are stored locally on clients, while audio resources and adaptation metadata are stored on the web service. The service utilizes standards like MPEG-7, MPEG-21, OWL, SPARQL and MPQF to manage metadata, ontologies and queries for personalizing audio content delivery.
Performance Analysis of Various Video Compression Techniques
Performance Analysis of Various Video Compression TechniquesInternational Journal of Science and Research (IJSR)
In familiar applications such as digital versatile disc (DVD), digital video can be found in digital TV, Internet video streaming, digital high-definition television is defined formula. Digital video sharing digital format all functions, including lossless transmission, lossless storage, easy to edit.Currently in many applications, including video conferencing, video games entertainment, DVD discs, digital video broadcasting. As digital video compression format storage requirements prohibitive, lossy digital video compression technology commonly used as the data transmission rate and a compromise between quality. In this paper, we compare and analyze the MPEG-2 , H.261 and H.264 video compression standards.After the Compression , We get the result that the compression of H.264 is better than other two but it take much time as compare to H.261 on higher cost.
MMC MPEG4
This document introduces MPEG-4 and its capabilities for creating interactive multimedia scenes. It discusses the MPEG standards family and focuses on MPEG-4. MPEG-4 allows encoding of audio and video objects separately, placing them interactively within a 3D space. This enables interactivity, like changing viewpoints. Profiles allow tailoring implementations to specific applications. MPEG-4 also supports intellectual property management to help content owners. The document provides an example scenario of using separate audio and video objects within a 3D television news broadcast to illustrate MPEG-4's capabilities.
VIDEO TO TEXT SUMMARIZER USING AI.pdf
This document describes a video-to-text summarization project done by students at Anna University Regional Campus Coimbatore under the guidance of Dr. S V Manisekaran. The project uses speech recognition and natural language processing techniques like TextRank to automatically summarize videos. It first transcribes audio to text then applies algorithms to extract keywords and rank sentences to generate a concise summary. The summarization helps users efficiently browse video content. While the quality depends on video source, it allows easy navigation and is more accessible than raw videos.
Automatic Subtitle Generation For Sound In Videos
This document proposes a three-step model for automatically generating subtitles for videos: 1) Extract the audio from the video file and convert it to a format compatible with speech recognition. 2) Use a speech recognition engine to convert the audio to text. 3) Encode the generated text into subtitle format by adding time frames and punctuation. The results have been encouraging but there is room for improvements in accuracy. Future work includes generating subtitles in multiple languages and improving accuracy.
Extract the Audio from Video by using python
This document discusses extracting audio from video files using Python. It begins with an abstract describing a video to audio converter program that allows users to select a video file and convert it to audio, saving the audio file in the same folder. It then discusses the need for video to audio converters as people often prefer just listening to a video's audio rather than watching it. It describes using the moviepy module in Python to extract audio from video files by analyzing the video frame-by-frame and applying speech recognition to the audio. The goal is to create a system that can convert video and audio sources into text to help with documentation.
Automatic Subtitle Generation for Sound in Videos
This document discusses automatic subtitle generation for audio in videos. It proposes a three step model: 1) extracting audio from video files using the Java Media Framework, 2) performing speech recognition on the audio using Google's API to convert it to text, and 3) generating subtitle files from the text by adding time frames and formatting. The results from testing this approach were encouraging but left room for improvements. The goal is to automatically generate subtitles to make video content more accessible for deaf/hard of hearing audiences and to reduce the manual effort required.
Queue
A queue is a linear data structure where insertion is done at one end called the rear and deletion is done at the other end called the front. There are different types of queues including simple, circular, deque, and priority queues. A priority queue allows insertion and removal of items from any position based on priority. Common queue operations are insertion, deletion, and examples of queue usage include lines at registers and traffic signals.
Inerrupt
There are two types of interrupts: hardware interrupts and software interrupts. Hardware interrupts are signals from devices like keyboards and mice that require immediate processing by the CPU. Software interrupts are requests made by running processes to execute another application. Interrupts allow the CPU to interact with I/O devices without waiting and improve system performance. Interrupts can also be prioritized and some can be masked, or ignored, which is not possible with an alternative polling method of device handling.
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With the advancement in internet technology, everyone has access to the internet. After google, YouTube is the second largest search engine and approximately 1 billion hours are consumed by people to watch video contents on YouTube. Editing the video and processing is not very easy. Network also plays an important role. With an unsteady network it can cause video to buffer which can reduce the streaming experience of users. Many people don’t even have a good computer which can handle the editing of large video files as editing and processing the video utilizes hardware, software and both. Many video editing software are available on the internet. Either it can be paid or open source software. One of the most popular open source software available on the internet is FFmpeg Fast Forward Moving Picture Expert Group . FFmpeg with other various software together can be used for video forensic to find traces in videos. It becomes very difficult to find traces from videos that are highly compressed or the video has low resolution. In earlier times, fetching data from camera of robots and encoding the data with software generates an issue. JNI,NDK, FFmpeg, researching about these video annotations a video player was created to examine video of sports so that user can see the how player evaluates the action practically with efficiently. Demand of multimedia increase as times goes on. Today in this global pandemic, everyone has move to digitalization. From studies to working everything has been digitalized. In this paper we are going to study about FFmpeg, how it benefits user with its features. Combining this highly popular multimedia framework with other software can create some useful technologies. Well, FFmpeg is mostly known for its memory efficiency and time efficiency. From processing image to editing videos everything can be acquired from FFmpeg. H. Sumesh Singha | Dr. Bhuvana J "A Study on FFmpeg Multimedia Framework" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-5 | Issue-4 , June 2021, URL: https://www.ijtsrd.compapers/ijtsrd42362.pdf Paper URL: https://www.ijtsrd.comcomputer-science/other/42362/a-study-on-ffmpeg-multimedia-framework/h-sumesh-singha
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MPEG-7 is a standard for describing multimedia content to enable search and retrieval of audiovisual information. It provides tools for describing multimedia content such as descriptors, description schemes, and a description definition language. The goal of MPEG-7 is to make multimedia content as searchable as text by providing metadata about features, structure, and semantics of audiovisual data.
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Here are a few MPEG standards for video and audio compression coding and multimedia delivery. The most commonly used formats are MPEG-2 & MPEG-4.
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MPEG-7 is an international standard for describing multimedia content to enable searching, filtering, and browsing of audiovisual data. It provides descriptors for features like color, texture, shape, and motion to support content-based retrieval of images and video. MPEG-7 also defines description schemes and a description definition language to create structured descriptions of multimedia content. The standard aims to facilitate searching, identifying, filtering and browsing of multimedia content through both text-based and content-based retrieval methods.
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This document discusses several video formats:
- AVI is an older Microsoft format that provides a framework for compression algorithms and was widely used with early video editing software, though it has limitations like a 2GB file size limit.
- MOV originated on the Mac but was also used on PCs, and supports various codecs like QuickTime but also has platform limitations.
- MPEG formats like MPEG-1, MPEG-2 and MPEG-4 were developed to standardize video compression and are used for streaming video and video CD/DVD formats, with each newer standard supporting higher resolutions and functionality.
Last videoppt
This document describes a video conferencing software project that allows users to conduct video calls over an intranet. It uses Java Media Framework for multimedia capabilities, Java Swing for the user interface, and Java networking for peer-to-peer communication. The software captures audio and video using JMF, processes it, then sends the media over the network using RTP protocols. This allows two computers connected via intranet to conduct real-time video calls with synchronized audio and video streams.
Mpeg7
The document provides an introduction to MPEG-7, which is a standard for describing multimedia content. It discusses the background and need for MPEG-7, as well as the main components of MPEG-7 including the Description Definition Language (DDL) for defining descriptions, Multimedia Description Schemes (MDS) for organizing descriptors, and various audio and video descriptors. Application areas of MPEG-7 involve searching, indexing, and retrieving multimedia content across different domains.
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This document discusses the hardware and software requirements for multimedia computers. It covers several topics:
1. It describes different classes of multimedia applications including streaming stored/live audio and video, and real-time interactive audio and video.
2. It discusses various multimedia software like MCI, Video for Windows, QuickTime, DirectX, and authoring tools.
3. It outlines the hardware requirements for multimedia computers as defined by the MPC standards, including components like sound cards, video cards, network cards, and USB/MIDI ports.
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This document introduces MPEG-4 and its capabilities for creating interactive multimedia scenes. It discusses the MPEG standards family and focuses on MPEG-4. MPEG-4 allows encoding of audio and video objects separately, placing them interactively within a 3D space. This enables interactivity, like changing viewpoints. Profiles allow tailoring implementations to specific applications. MPEG-4 also supports intellectual property management to help content owners. The document provides an example scenario of using separate audio and video objects within a 3D television news broadcast to illustrate MPEG-4's capabilities.
VIDEO TO TEXT SUMMARIZER USING AI.pdf
This document describes a video-to-text summarization project done by students at Anna University Regional Campus Coimbatore under the guidance of Dr. S V Manisekaran. The project uses speech recognition and natural language processing techniques like TextRank to automatically summarize videos. It first transcribes audio to text then applies algorithms to extract keywords and rank sentences to generate a concise summary. The summarization helps users efficiently browse video content. While the quality depends on video source, it allows easy navigation and is more accessible than raw videos.
Automatic Subtitle Generation For Sound In Videos
This document proposes a three-step model for automatically generating subtitles for videos: 1) Extract the audio from the video file and convert it to a format compatible with speech recognition. 2) Use a speech recognition engine to convert the audio to text. 3) Encode the generated text into subtitle format by adding time frames and punctuation. The results have been encouraging but there is room for improvements in accuracy. Future work includes generating subtitles in multiple languages and improving accuracy.
Extract the Audio from Video by using python
This document discusses extracting audio from video files using Python. It begins with an abstract describing a video to audio converter program that allows users to select a video file and convert it to audio, saving the audio file in the same folder. It then discusses the need for video to audio converters as people often prefer just listening to a video's audio rather than watching it. It describes using the moviepy module in Python to extract audio from video files by analyzing the video frame-by-frame and applying speech recognition to the audio. The goal is to create a system that can convert video and audio sources into text to help with documentation.
Automatic Subtitle Generation for Sound in Videos
This document discusses automatic subtitle generation for audio in videos. It proposes a three step model: 1) extracting audio from video files using the Java Media Framework, 2) performing speech recognition on the audio using Google's API to convert it to text, and 3) generating subtitle files from the text by adding time frames and formatting. The results from testing this approach were encouraging but left room for improvements. The goal is to automatically generate subtitles to make video content more accessible for deaf/hard of hearing audiences and to reduce the manual effort required.
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Queue
A queue is a linear data structure where insertion is done at one end called the rear and deletion is done at the other end called the front. There are different types of queues including simple, circular, deque, and priority queues. A priority queue allows insertion and removal of items from any position based on priority. Common queue operations are insertion, deletion, and examples of queue usage include lines at registers and traffic signals.
Inerrupt
There are two types of interrupts: hardware interrupts and software interrupts. Hardware interrupts are signals from devices like keyboards and mice that require immediate processing by the CPU. Software interrupts are requests made by running processes to execute another application. Interrupts allow the CPU to interact with I/O devices without waiting and improve system performance. Interrupts can also be prioritized and some can be masked, or ignored, which is not possible with an alternative polling method of device handling.
Master page
This document provides an overview of ASP.NET master pages. It explains that a master page defines a consistent layout that content pages can use, and that when a content page is requested it merges with the master page to produce the final output. It describes how master pages work, their advantages like centralized functionality, and how the runtime merging of master and content pages produces the rendered page sent to the browser.
Training and placement reportmsword
The document describes a training and placement system project that was developed to manage student and company information. Key features of the system include maintaining student details, tracking student status, viewing company availability, and searching for student details. The system has administrator and user modules, with the administrator able to update information and the user able to register, view company details, and search by city. Tables are included to store user, company, and student registration information for the database.
acknowledgement
The students acknowledge Gujarat Technological University for providing the platform to develop their software project. They thank their department head and internal guide for their support and helpful inputs during the development, implementation, and presentation of the project. The students also appreciate their classmates and others who helped make the software project more efficient.
Training and placement
The document describes a training and placement system project that was developed to manage student and company information. Key features of the system include maintaining student details, tracking student status, viewing company availability, and searching for student details. The system has administrative and user modules, with administrators able to update student/company data and user able to register, view placements, and search companies. Tables were created to store user, student, company and other data, and diagrams like ERD, DFD and use cases were designed to illustrate the system structure and flow.
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This document outlines the contents of a project, including an introduction describing the abstract, company, profile, overview, and modules. It discusses the user interface and database requirements, proposed system, and analysis tools. The complete project structure is defined through entity relationship diagrams, data flow diagrams, searching process diagrams, use case diagrams, process flow diagrams, and sequence flow diagrams. Test cases and conclusions are also included.
3 page acknowledgement1
The students acknowledge Gujarat Technological University for providing the platform to develop their software project. They thank their department head and internal guide for their support and helpful inputs during the development, implementation, and presentation of the project. The students also appreciate their classmates and others who helped make the software project more efficient.
Training and placement ppt
This document describes a training and placement management system created by students for their college. It includes an introduction, the technologies used, data flow diagrams, data dictionaries, screen designs, an ER diagram, and conclusion. The system allows students, companies, and administrators to manage training, placement, and other related processes. It provides functionality like registration, profile management, job posting, and search. The goal is to automate the current manual system for better management of information and services for students and recruiters.
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This ppt gives detailed description of Object Oriented Analysis and design.
一比一原版(爱大毕业证书)爱荷华大学毕业证如何办理
原版一模一样【微信：741003700 】【(爱大毕业证书)爱荷华大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(爱大毕业证书)爱荷华大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
LLM Fine Tuning with QLoRA Cassandra Lunch 4, presented by Anant
Slides for the 4th Presentation on LLM Fine-Tuning with QLoRA Presented by Anant, featuring DataStax Astra
Optimizing Gradle Builds - Gradle DPE Tour Berlin 2024
Sinan from the Delivery Hero mobile infrastructure engineering team shares a deep dive into performance acceleration with Gradle build cache optimizations. Sinan shares their journey into solving complex build-cache problems that affect Gradle builds. By understanding the challenges and solutions found in our journey, we aim to demonstrate the possibilities for faster builds. The case study reveals how overlapping outputs and cache misconfigurations led to significant increases in build times, especially as the project scaled up with numerous modules using Paparazzi tests. The journey from diagnosing to defeating cache issues offers invaluable lessons on maintaining cache integrity without sacrificing functionality.
Prediction of Electrical Energy Efficiency Using Information on Consumer's Ac...
Energy efficiency has been important since the latter part of the last century. The main object of this survey is to determine the energy efficiency knowledge among consumers. Two separate districts in Bangladesh are selected to conduct the survey on households and showrooms about the energy and seller also. The survey uses the data to find some regression equations from which it is easy to predict energy efficiency knowledge. The data is analyzed and calculated based on five important criteria. The initial target was to find some factors that help predict a person's energy efficiency knowledge. From the survey, it is found that the energy efficiency awareness among the people of our country is very low. Relationships between household energy use behaviors are estimated using a unique dataset of about 40 households and 20 showrooms in Bangladesh's Chapainawabganj and Bagerhat districts. Knowledge of energy consumption and energy efficiency technology options is found to be associated with household use of energy conservation practices. Household characteristics also influence household energy use behavior. Younger household cohorts are more likely to adopt energy-efficient technologies and energy conservation practices and place primary importance on energy saving for environmental reasons. Education also influences attitudes toward energy conservation in Bangladesh. Low-education households indicate they primarily save electricity for the environment while high-education households indicate they are motivated by environmental concerns.
一比一原版(CalArts毕业证)加利福尼亚艺术学院毕业证如何办理
CalArts毕业证学历书【微信95270640】CalArts毕业证’圣力嘉学院毕业证《Q微信95270640》办理CalArts毕业证√文凭学历制作{CalArts文凭}购买学历学位证书本科硕士,CalArts毕业证学历学位证【实体公司】办毕业证、成绩单、学历认证、学位证、文凭认证、办留信网认证、（网上可查，实体公司，专业可靠）
(诚招代理)办理国外高校毕业证成绩单文凭学位证,真实使馆公证（留学回国人员证明）真实留信网认证国外学历学位认证雅思代考国外学校代申请名校保录开请假条改GPA改成绩ID卡
1.高仿业务:【本科硕士】毕业证,成绩单（GPA修改）,学历认证（教育部认证）,大学Offer,,ID,留信认证,使馆认证,雅思,语言证书等高仿类证书；
2.认证服务: 学历认证（教育部认证）,大使馆认证（回国人员证明）,留信认证（可查有编号证书）,大学保录取,雅思保分成绩单。
3.技术服务：钢印水印烫金激光防伪凹凸版设计印刷激凸温感光标底纹镭射速度快。
办理加利福尼亚艺术学院加利福尼亚艺术学院毕业证文凭证书流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）
-办理真实使馆公证（即留学回国人员证明）
-办理各国各大学文凭（世界名校一对一专业服务,可全程监控跟踪进度）
-全套服务：毕业证成绩单真实使馆公证真实教育部认证。让您回国发展信心十足！
（详情请加一下 文凭顾问+微信:95270640）欢迎咨询！子小伍玩小伍比山娃小一岁虎头虎脑的很霸气父亲让山娃跟小伍去夏令营听课山娃很高兴夏令营就设在附近一所小学山娃发现那所小学比自己的学校更大更美操场上还铺有塑胶跑道呢里面很多小朋友一班一班的快快乐乐原来城里娃都藏这儿来了怪不得平时见不到他们山娃恍然大悟起来吹拉弹唱琴棋书画山娃都不懂却什么都想学山娃怨自己太笨什么都不会斟酌再三山娃终于选定了学美术当听说每月要交元时父亲犹豫了山娃也说爸算了吧咱学校一学期才转
Design and optimization of ion propulsion drone
Electric propulsion technology is widely used in many kinds of vehicles in recent years, and aircrafts are no exception. Technically, UAVs are electrically propelled but tend to produce a significant amount of noise and vibrations. Ion propulsion technology for drones is a potential solution to this problem. Ion propulsion technology is proven to be feasible in the earth’s atmosphere. The study presented in this article shows the design of EHD thrusters and power supply for ion propulsion drones along with performance optimization of high-voltage power supply for endurance in earth’s atmosphere.
一比一原版(osu毕业证书)美国俄勒冈州立大学毕业证如何办理
原版一模一样【微信：741003700 】【(osu毕业证书)美国俄勒冈州立大学毕业证成绩单】【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】外观非常简单，由纸质材料制成，上面印有校徽、校名、毕业生姓名、专业等信息。
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】格式相对统一，各专业都有相应的模板。通常包括以下部分：
校徽：象征着学校的荣誉和传承。
校名:学校英文全称
授予学位：本部分将注明获得的具体学位名称。
毕业生姓名：这是最重要的信息之一，标志着该证书是由特定人员获得的。
颁发日期：这是毕业正式生效的时间，也代表着毕业生学业的结束。
其他信息：根据不同的专业和学位，可能会有一些特定的信息或章节。
办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】价值很高，需要妥善保管。一般来说，应放置在安全、干燥、防潮的地方，避免长时间暴露在阳光下。如需使用，最好使用复印件而不是原件，以免丢失。
综上所述，办理(osu毕业证书)美国俄勒冈州立大学毕业证【微信：741003700 】是证明身份和学历的高价值文件。外观简单庄重，格式统一，包括重要的个人信息和发布日期。对持有人来说，妥善保管是非常重要的。
Generative AI Use cases applications solutions and implementation.pdf
Generative AI solutions encompass a range of capabilities from content creation to complex problem-solving across industries. Implementing generative AI involves identifying specific business needs, developing tailored AI models using techniques like GANs and VAEs, and integrating these models into existing workflows. Data quality and continuous model refinement are crucial for effective implementation. Businesses must also consider ethical implications and ensure transparency in AI decision-making. Generative AI's implementation aims to enhance efficiency, creativity, and innovation by leveraging autonomous generation and sophisticated learning algorithms to meet diverse business challenges.
https://www.leewayhertz.com/generative-ai-use-cases-and-applications/
Mechatronics material . Mechanical engineering
Mechatronics is a multidisciplinary field that refers to the skill sets needed in the contemporary, advanced automated manufacturing industry. At the intersection of mechanics, electronics, and computing, mechatronics specialists create simpler, smarter systems. Mechatronics is an essential foundation for the expected growth in automation and manufacturing.
Mechatronics deals with robotics, control systems, and electro-mechanical systems.
DEEP LEARNING FOR SMART GRID INTRUSION DETECTION: A HYBRID CNN-LSTM-BASED MODEL
As digital technology becomes more deeply embedded in power systems, protecting the communication
networks of Smart Grids (SG) has emerged as a critical concern. Distributed Network Protocol 3 (DNP3)
represents a multi-tiered application layer protocol extensively utilized in Supervisory Control and Data
Acquisition (SCADA)-based smart grids to facilitate real-time data gathering and control functionalities.
Robust Intrusion Detection Systems (IDS) are necessary for early threat detection and mitigation because
of the interconnection of these networks, which makes them vulnerable to a variety of cyberattacks. To
solve this issue, this paper develops a hybrid Deep Learning (DL) model specifically designed for intrusion
detection in smart grids. The proposed approach is a combination of the Convolutional Neural Network
(CNN) and the Long-Short-Term Memory algorithms (LSTM). We employed a recent intrusion detection
dataset (DNP3), which focuses on unauthorized commands and Denial of Service (DoS) cyberattacks, to
train and test our model. The results of our experiments show that our CNN-LSTM method is much better
at finding smart grid intrusions than other deep learning algorithms used for classification. In addition,
our proposed approach improves accuracy, precision, recall, and F1 score, achieving a high detection
accuracy rate of 99.50%.
SCALING OF MOS CIRCUITS m .pptx
this ppt explains about scaling parameters of the mosfet it is basically vlsi subject
Digital Twins Computer Networking Paper Presentation.pptx
A Digital Twin in computer networking is a virtual representation of a physical network, used to simulate, analyze, and optimize network performance and reliability. It leverages real-time data to enhance network management, predict issues, and improve decision-making processes.
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
NATURAL DEEP EUTECTIC SOLVENTS AS ANTI-FREEZING AGENT
Mechanical Engineering on AAI Summer Training Report-003.pdf
Mechanical Engineering PROJECT REPORT ON SUMMER VOCATIONAL TRAINING
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Introduction, Modeling Concepts and Class Modeling: What is Object orientation? What is OO development? OO Themes; Evidence for usefulness of OO development; OO modeling history. Modeling
as Design technique: Modeling, abstraction, The Three models. Class Modeling: Object and Class Concept, Link and associations concepts, Generalization and Inheritance, A sample class model, Navigation of class models, and UML diagrams
Building the Analysis Models: Requirement Analysis, Analysis Model Approaches, Data modeling Concepts, Object Oriented Analysis, Scenario-Based Modeling, Flow-Oriented Modeling, class Based Modeling, Creating a Behavioral Model.
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Mpeg7
- 1. Guided by: Prof. Nilesh Prajapati ( BVM IT Department ) Prepared by: Parmar Bhavesh (150083116007)
- 2. MPEG 7 Motion Picture Expert Group, established in 1990 to create standards for delivering audio and video data MPEG is a multimedia standard with specifications for coding, compression and transmission of audio, video and data streams. Video: describes compression of frames. Audio: describes compression of audio frames
- 3. MPEG-7 is called “Multimedia Content Description Interface” MPEG-7 is a standardized description of various types of multimedia information. Allows fast and efficient searching
- 4. It includes MPEG-1, MPEG-2 and MPEG-4,MPEG -7 etc. Basic components of MPEG are: Elementary Streams Program streams Transport streams s
- 5. MPEG7 PARTS AND FUNCTIONALITIES The MPEG-7 Standard consists of the following parts: Systems Description Definition Language Visual Audio Multimedia Description Schemes Reference Software ConformanceTesting Profiles and levels
- 6. NEED of MPEG 7 Large amount of audiovisual information is available on theWorldWideWeb The value of information often depends on how easy it can be found, retrieved, accessed, filtered and managed. MPEG-7 is used for quick and efficient searches and filters various types of multimedia Data.
- 7. CONCLUSION Future goals oriented towards increasing ease of access to media information (similar to Google for text based information) Address a wide variety of media types including It will operate in both real-time and non real-time environments. “Real-time environment" -description is generated at the same time as the content is being captured