The main objective of this work is to leverage the existing video contents and turn them into transactional content marketing. Here the viewer can select products shown while playing the video using the swipe motion gesture technique, and thereby creating new levels of interactivity, allowing them to receive more information about the products in a special page. In our system, swipe motion gesture recognition using webcam is used for selecting the products at any moment throughout the video, and the video play without any interruption. This work aims at creating intuitive and interactive experiences for any video, new or existing, and has a vast arena of development.
Review on content based video lecture retrievaleSAT Journals
Abstract Recent advances in multimedia technologies allow the capture and storage of video data with relatively inexpensive computers. Furthermore, the new possibilities offered by the information highways have made a large amount of video data publicly available. However, without appropriate search techniques all these data are hardly usable. Users are not satisfied with the video retrieval systems that provide analogue VCR functionality. For example, a user analyses a soccer video will ask for specific events such as goals. Content-based search and retrieval of video data becomes a challenging and important problem. Therefore, the need for tools that can be manipulate the video content in the same way as traditional databases manage numeric and textual data is significant. Therefore, a more efficient method for video retrieval in WWW or within large lecture video archives is urgently needed. This project presents an approach for automated video indexing and video search in large lecture video archives. First of all, we apply automatic video segmentation and key-frame detection to offer a visual guideline for the video content navigation. Subsequently, we extract textual metadata by applying video Optical Character Recognition (OCR) technology on key-frames and Automatic Speech Recognition on lecture audio tracks. Keywords—Feature extraction, video annotation, video browsing, video retrieval, video structure analysis
The main objective of this work is to leverage the existing video contents and turn them into transactional content marketing. Here the viewer can select products shown while playing the video using the swipe motion gesture technique, and thereby creating new levels of interactivity, allowing them to receive more information about the products in a special page. In our system, swipe motion gesture recognition using webcam is used for selecting the products at any moment throughout the video, and the video play without any interruption. This work aims at creating intuitive and interactive experiences for any video, new or existing, and has a vast arena of development.
Review on content based video lecture retrievaleSAT Journals
Abstract Recent advances in multimedia technologies allow the capture and storage of video data with relatively inexpensive computers. Furthermore, the new possibilities offered by the information highways have made a large amount of video data publicly available. However, without appropriate search techniques all these data are hardly usable. Users are not satisfied with the video retrieval systems that provide analogue VCR functionality. For example, a user analyses a soccer video will ask for specific events such as goals. Content-based search and retrieval of video data becomes a challenging and important problem. Therefore, the need for tools that can be manipulate the video content in the same way as traditional databases manage numeric and textual data is significant. Therefore, a more efficient method for video retrieval in WWW or within large lecture video archives is urgently needed. This project presents an approach for automated video indexing and video search in large lecture video archives. First of all, we apply automatic video segmentation and key-frame detection to offer a visual guideline for the video content navigation. Subsequently, we extract textual metadata by applying video Optical Character Recognition (OCR) technology on key-frames and Automatic Speech Recognition on lecture audio tracks. Keywords—Feature extraction, video annotation, video browsing, video retrieval, video structure analysis
Unsupervised object-level video summarization with online motion auto-encoderNEERAJ BAGHEL
Unsupervised video summarization plays an important role on digesting, browsing, and searching the ever-growing videos every day.
Author investigate a pioneer research direction towards the unsupervised object-level video summarization.
It can be distinguished from existing pipelines in two aspects:
Extracting key motions of participated objects
Learning to summarize in an unsupervised and online manner.
some of the graphical input devices. emerging technology also transforms and presents to us various innovative input devices. at present automatic speech recognition is an intelligent input method
Executive Directors Chat Leveraging AI for Diversity, Equity, and InclusionTechSoup
Let’s explore the intersection of technology and equity in the final session of our DEI series. Discover how AI tools, like ChatGPT, can be used to support and enhance your nonprofit's DEI initiatives. Participants will gain insights into practical AI applications and get tips for leveraging technology to advance their DEI goals.
MATATAG CURRICULUM: ASSESSING THE READINESS OF ELEM. PUBLIC SCHOOL TEACHERS I...NelTorrente
In this research, it concludes that while the readiness of teachers in Caloocan City to implement the MATATAG Curriculum is generally positive, targeted efforts in professional development, resource distribution, support networks, and comprehensive preparation can address the existing gaps and ensure successful curriculum implementation.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Introduction to AI for Nonprofits with Tapp NetworkTechSoup
Dive into the world of AI! Experts Jon Hill and Tareq Monaur will guide you through AI's role in enhancing nonprofit websites and basic marketing strategies, making it easy to understand and apply.
How to Add Chatter in the odoo 17 ERP ModuleCeline George
In Odoo, the chatter is like a chat tool that helps you work together on records. You can leave notes and track things, making it easier to talk with your team and partners. Inside chatter, all communication history, activity, and changes will be displayed.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
it describes the bony anatomy including the femoral head , acetabulum, labrum . also discusses the capsule , ligaments . muscle that act on the hip joint and the range of motion are outlined. factors affecting hip joint stability and weight transmission through the joint are summarized.