Video Signal Compression and Standards
A Review
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The fields of signal processing have grown from the origin of fast Fourier transform and digital filter design to statistical spectral analysis and array processing, image, audio, and multimedia processing, and shaped developments in high-performance VLSI signal processor design. This is made possible largely due tothe tremendous progress achieved by researchers around the world in data compression technology, in particular for video data. Because there are a wide range of target applications from low-end to high-end under various constraints such as power consumption and area cost, an application-specific implementation may be pure software, pure hardwired, or something in between.To facilitate interoperability between compression at the video producing source and decompression at the consumption end, several generations of video coding standards have been defined and adapted.
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About the Book
Signal processing can be broadly defined as the application of analog or digital techniques to improve the utility of a data stream. Analog techniques are applied to a data stream embodied as a time-varying electrical signal. While in the digital domain, the data are represented as an array of numbers. A video signal is represented as a sequence of frames of pixels. There exists vast amount of redundant information that can be eliminated with video compression technology. So that its transmission and storage becomes more efficient. Video and image compression is a complex and extensive subject, and this book keeps an offered limited focus, concentrating on the standards themselves and on video coding concepts that directly underpin the standards. The leading contenders are the International Standards known as MPEG-4 Visual and H.264. H.264/AVC, the result of the collaboration between the ISO/IEC Moving Picture Experts Group and the ITU-T Video Coding Experts Group, is the latest standard for video coding. H.264/AVC provides gains in compression efficiency of up to 50% over a wide range of bit rates and video resolutions compared to previous standards. There is therefore a need to develop low complexity implementations of H.264/AVC that offer the performance and flexibility advantages of the standard without an excessive computational cost.
About the Author
Selvaraj Saravanan received B.E degree from university of Madras in 2000 and M.E. from Satyabama University. He has completed Ph.D in video compression in 2013.He joined as a Lecturer and became an assistant professor in saraswathi velu college of engineering. He is currently Associate professor in Maamallan institute of technology. There he teach graduate-level courses in digital image processing. He has been actively involved in research and development of signal processing. His research interest include Image processing,video compression, VLSI and digital signal processing. He is a formal reviewer of many standard journals. He was acted as a chairperson for many IEEE conferences. He thanks all the authors and companies for supporting this work.