Study and simulation of low rate video coding schemes

The semiannual report is included. Topics covered include communication, information science, data compression, remote sensing, color mapped images, robust coding scheme for packet video, recursively indexed differential pulse code modulation, image compression technique for use on token ring networks, and joint source/channel coder design

Signal processing for high-definition television

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Mathematics, 1995.Includes bibliographical references (p. 60-62).by Peter Monta.Ph.D

Scalable coding of HDTV pictures using the MPEG coder

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1994.Includes bibliographical references (leaves 118-121).by Adnan Husain Lawai.M.S

Motion compensation for image compression: pel-recursive motion estimation algorithm

In motion pictures there is a certain amount of redundancy between consecutive frames. These redundancies can be exploited by using interframe prediction techniques. To further enhance the efficiency of interframe prediction, motion estimation and compensation, various motion compensation techniques can be used. There are two distinct techniques for motion estimation block matching and pel-recursive block matching has been widely used as it produces a better signal-to-noise ratio or a lower bit rate for transmission than the pel-recursive method. In this thesis, various pel-recursive motion estimation techniques such as steepest descent gradient algorithm have been considered and simulated. [Continues.

DISTRIBUTED PARALLEL COMPUTATION IN VIDEO CODING USING WORKSTATIONS

In this paper a new approach for coding moving pictures is presented. Because of the large number of calculations, the conventional solution uses tightly coupled multiproces- sors working in parallel to achieve real-time processing (encoding 25 - 30 pictures per second). A new idea is to distribute the workload among workstations connected to a network where a software package (e.g. PVM - Parallel Virtual Machine) supports the communication between the machines. In contrast with the present hard wired structures, this loosely coupled system provides more flexibility in coding algorithms and has better cost/performance. The paper describes the main parallel structures already used in video processing, and discusses the possibility of mapping them to this new paralell system. Also. simulations were carried out to examine the performance of the most computation- ally intensive operations (DCT - Discrete Cosine Transform and motion estimation). The tests were performed on a cluster of SUN Sparc 2s connected via Ethernel. It was experienced that DCT did not show any speed-up because of the extremely low CC ra- tio. However, motion estimation worked well if either a full or hierarchical search was used. This research work was carried out in 1994 at the Information Theory Group of the Department of Electrical Engineering, Technical University of Delft

Structured video coding

Thesis (M.S.)--Massachusetts Institute of Technology, Dept. of Architecture, 1991.Includes bibliographical references (leaves 67-71).by Patrick Campbell McLean.M.S

Data compression techniques applied to high resolution high frame rate video technology

An investigation is presented of video data compression applied to microgravity space experiments using High Resolution High Frame Rate Video Technology (HHVT). An extensive survey of methods of video data compression, described in the open literature, was conducted. The survey examines compression methods employing digital computing. The results of the survey are presented. They include a description of each method and assessment of image degradation and video data parameters. An assessment is made of present and near term future technology for implementation of video data compression in high speed imaging system. Results of the assessment are discussed and summarized. The results of a study of a baseline HHVT video system, and approaches for implementation of video data compression, are presented. Case studies of three microgravity experiments are presented and specific compression techniques and implementations are recommended

MASCOT : metadata for advanced scalable video coding tools : final report

The goal of the MASCOT project was to develop new video coding schemes and tools that provide both an increased coding efficiency as well as extended scalability features compared to technology that was available at the beginning of the project. Towards that goal the following tools would be used: - metadata-based coding tools; - new spatiotemporal decompositions; - new prediction schemes. Although the initial goal was to develop one single codec architecture that was able to combine all new coding tools that were foreseen when the project was formulated, it became clear that this would limit the selection of the new tools. Therefore the consortium decided to develop two codec frameworks within the project, a standard hybrid DCT-based codec and a 3D wavelet-based codec, which together are able to accommodate all tools developed during the course of the project