Kalman Filtering Based Motion Estimation for Video Coding | Zendy

Nai-Chung Yang | Zendy; Chaur Heh | Zendy; Chung Ming | Zendy

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Kalman Filtering Based Motion Estimation for Video Coding

Author(s) -

Nai-Chung Yang,

Chaur Heh,

Chung Ming

Publication year - 2009

Publication title -

intech ebooks

Language(s) - English

Resource type - Book series

DOI - 10.5772/6822

Subject(s) - kalman filter , computer science , computer vision , motion estimation , coding (social sciences) , estimation , artificial intelligence , fast kalman filter , extended kalman filter , mathematics , statistics , engineering , systems engineering

Video compression is a very efficient method for storage and transmission of digital video signal. The applications include multimedia transmission, teleconferencing, videophone, high-definition television (HDTV), CD-ROM storages, etc. The hybrid coding techniques based on predictive and transform coding are the most popular and adopted by many video coding standards such as MPEG-1/2/4 [1] and H.261/H.263/H.264 [2, 3], owing to its high compression efficiency. In the hybrid coding system, the motion compensation, first proposed by Netravali and Robbins in 1997, plays a key role from the view point of coding efficiency and implementation cost [4-11]. A generic hybrid video coder is depicted in Figure 1. Fig. 1. A generic hybrid motion compensated DCT video coder. DCT Quan-tization De-Quan-tization IDCT Motion Compensation Motion Estimation Frame Buffer Variable Length Coder

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