Video Compression Algorithms for Transmission and Video.
Abstract
During the past year, we have continued our efforts in the area of signal, image and video representation, compression, storage, transmission and enhancement. In the area of video transmission, we have focused on optimal joint/source channel coding for noisy wireless channels. In the area of video compression, we submitted our very low bit rate algorithm to MPEG-4 standardization body into the area of video compression, we submitted our very low bit rate algorithm to MPEG-4 standardization body in November of 1995. Our matching pursuit algorithm performed among the top 3 of all the submissions for very low bit rate compression. In the area of video compression, we also focused on low complexity, real time software codecs for scalable video. Specifically, we have shown that by trading off compression efficiency with complexity, we can achieve real time encode and decode capability on today's workstations. In the area of video storage and retrieval, we continued our efforts on placement of Variable Bit Rate (VBR) and scalable video on parallel disk arrays and developed new admission control strategies. These schemes were tested experimentally on a real disk system in our lab. In the area of resolution enhancement, we developed a novel motion estimation scheme for multiframe video resolution enhancement. Finally, in the area of circuits and systems for signal processing, we continued our efforts on oversampled data conversion systems, such as sigma delta modulators. Specifically, we developed analytical and simulation techniques for locating dominant tones in double loop Sigma Delta A/D converters.
Document Details
- Document Type
- Technical Report
- Publication Date
- May 31, 1996
- Accession Number
- ADA309812
Entities
People
- Avideh Zakhor
Organizations
- University of California, Berkeley