This document discusses fundamentals of lossy video compression. It introduces digital video and factors like frame rate, color resolution, and spatial resolution. It describes video compression standards including MPEG, JPEG, H.261, and H.263. MPEG standards like MPEG-1, MPEG-2, and MPEG-4 are discussed in detail regarding their applications and capabilities. The goals of video compression are to reduce file size while retaining quality for storing and transferring video efficiently.
To highlight the contribution made to the total image appearance by specific bits.i.e. Assuming that each pixel is represented by 8 bits, the image is composed of 8 1-bit planes.Useful for analyzing the relative importance played by each bit of the image.
Codec stands for enCOder/DECoder or COmpressor/DECompressor. It is a software or hardware that compresses and decompresses audio and video data streams.
To highlight the contribution made to the total image appearance by specific bits.i.e. Assuming that each pixel is represented by 8 bits, the image is composed of 8 1-bit planes.Useful for analyzing the relative importance played by each bit of the image.
Codec stands for enCOder/DECoder or COmpressor/DECompressor. It is a software or hardware that compresses and decompresses audio and video data streams.
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The increasing use of digital video has put into perspective the storage requirements for a large number of video files. Different qualities of videos are available and each of these requires different storage areas. Different variety of devices having different pixel densities uses these files and accordingly has varying video processing capabilities. This paper presents a novel multimedia video encoding/decoding algorithm which is responsive to the device and responds to the device capabilities. This involves a light-weight, multi-layered approach whereby the video streams are divided into different layers and these are differentially loaded as per the quality requirements. This differential loading involves the progressive decoding algorithm for the video stream and henceforth a single file to be used vary the bit rate depending on several factors like the device processing capabilities, available memory, screen width and pixel density for different quality requirements. By in cooperating this method to WebRTC framework, the quality of video can be varied according to the network congestions. Our analysis reveals that this method is far more efficient than transcoding-on-air method which is used by multimedia servers which require special hardware support. For normal servers which use HTML5 for playback of video, this method reduces the total bandwidth required and saves a lot of storage space which results in smooth streaming over the web. This new approach makes the video files adaptive to the different devices on which they are running.
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COMPARISON OF CINEPAK, INTEL, MICROSOFT VIDEO AND INDEO CODEC FOR VIDEO COMPR...ijma
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over networks. This work compares Cinepak, Intel, Microsoft Video and Indeo Codec for video
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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
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Previous research done regarding assessing of video quality has been mainly by the use of subjective
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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...ijma
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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...ijma
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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
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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.
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It is always satisfying when we can help solve complex challenges like this. Do your systems also need a check-up or optimization? Give us a call!
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More examples of our work https://www.r-r-consult.dk/en/cases-en/
1. FUNDAMENTALS OF LOSSY
VIDEO COMPRESSION
by
ANJU NARAYANAN
Roll No:M17402
M. Tech. in Signal Processing and Embedded Systems
Department of Electronics & Communication Engineering
Govt. College of Engineering Kannur
on
5th November 2018
2. Introduction to Digital Video
Video is a stream of data composed of discrete frames,
containing both audio and pictures.
Continuous motion produced at a frame rate of 15 fps or
higher.
With digital video, four factors have to be kept in mind.
Frame rate
Colour Resolution
Spatial Resolution
Image Quality
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 2
3. Frame Rate
In motion pictures, television, and in
computer video displays, frame rate is number of frames or
images that are projected or displayed per second.
A higher frame rate, more images are shown in same amount
of time and it will reduce motion blur from fast moving
images and will give you better quality crisp video.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 3
4. Colour Resolution
It refers to number of colours displayed on screen at one
time.
Computers deal with Colour in an RGB (red-green-blue)
format, while video uses a variety of formats. One of the
most common video formats is called YUV.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 4
5. Spatial Resolution
Spatial resolution is a parameter that shows how many
pixels are used to represent a real object in digital form.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 5
6. Reasons to compress
Goal of video compression is to massively reduce
amount of data required to store digital video file, while
retaining the quality of original video.
Reduce File Size.
Save disk space.
Increase transfer speed at a given data rate .
Allow real-time transfer at a given data rate.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 6
7. Lossless vs. Lossy Compression
In lossless compression, data is not altered or lost in the
process of compression or decompression.
Run-Length Encoding
Dynamic Pattern Substitution - Lampel-Ziv Encoding
Huffman Encoding
Lossy compression is used for compressing audio, pictures,
video.
JPEG
MPEG
H.261 (Px64) Video Coding Algorithm
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 7
8. Lossy compression
Does not promise that the data received is exactly the
same as the data sent.
Removes information that it cannot later restore
(Hopefully, no one will notice.)
Reduce file size by considerably greater amounts than
loss-less compressions but lose both information and
quality.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 8
9. MPEG (Moving Picture Expert
Group)
MPEG was set standard for Audio and Video compression
and transmission.
MPEG-1 is a standard for lossy compression of video and
audio.
It is designed to compress VHS-quality raw digital video
and CD audio down to 1.5 Mbit/s without excessive
quality loss.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 9
10. MPEG(contd…)
MPEG-1 has become the most widely compatible lossy
audio/video format in world.
It is used in a large number of products and technologies.
The best-known part of the MPEG-1 standard is the MP3
audio format .
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 10
11. MPEG-2
It was designed for coding interlaced images at
transmission rates above 4 million bits per second.
MPEG 2 can be used on HD-DVD and blue ray disc.
It handles 5 audio channels.
Covers wider range of frame sizes (HDTV).
MPEG-2 can compress 2 hours video into a few GHz.
MPEG-2 is used for digital TV broadcast and DVD.
An MPEG-2 is designed to offer higher quality than
MPEG-1.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 11
12. MPEG-3
Designed to handle HDTV signal in range 20 to 40
Mbits/sec.
HDTV-resolution is 1920* 1080*30 Hz
But MPEG-2 was fully capable of handling HDTV so MPEG
-3 is no longer mentioned.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 12
13. MPEG-4
MPEG-4 is a collection of methods defining compression of
audio and visual (AV) digital data.
MPEG-4 absorbs many of features of MPEG-1 and MPEG-2
MPEG-4 files are smaller than JPEG.
so they transmit video and images over narrower
bandwidth and can mix video with text graphics and 2D
and 3D animation layers.
Helps end users with wide range of interaction with
animated objects.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 13
14. MPEG-7
MPEG-7 is a content representation standard for
information search.
It is also titled Multimedia Content Description Interface.
It will define the manner in which audio-visual materials
can be coded and classified so the materials can be
easily located using search engines.
Provide a fast and efficient searching, filtering and
content identification method.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 14
15. Still Image Compression - JPEG
Defined by Joint Photographic Experts Group
Released as an ISO standard for still color and gray-scale
images.
Provides four modes of operation:
Sequential (each pixel is traversed only once)
progressive (image gets progressively sharper)
Hierarchical (image compressed to multiple resolutions)
lossless (full detail at selected resolution)
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 15
16. H.261 (Px64)
H.261 was designed for data rates which are multiples of
64Kbit/s, and is sometimes called p x 64Kbit/s (p is in
the range 1-30).
These data rates suit ISDN lines.
Intended for videophone and video conferencing
systems.
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 16
17. H.263 Standard
The development of modems allowing transmission in
the range of 28-33 kbps paved the way for the
development of an
improved version of H.261
• It was designed for low bitrate
communication , however this
limitationhas now been removed
• It is expected that H.263 will replace H.261
11/19/2018 FUNDAMENTALS OF LOSSY VIDEO COMPRESSION 17