27 February 1996 Motion-based representation of video sequences using variable block sizes
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Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233251
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
In standard video coding algorithms image frames are represented partly through motion information and partly through intensity information. Through motion information, a new frame is described with respect to the previous frame in the video sequence, and through intensity information it is described without reference to the previous frame. As long as consecutive frames are related through motion, motion-based information generally yields more efficient representation than intensity-based information. This observation has motivated the development of a new coding scheme in which image sequences are represented solely in terms of their motion fields. In the new coding scheme every pixel in a new image frame is assigned a motion vector that fully conveys the new pixel intensity. The resulting full resolution motion field fully characterizes the new frame. The motion field is then coded and sent to the decoder. Such a motion based representation has been shown to be more efficient than standard hybrid representations. In this paper the motion-based coding scheme is generalized to allow variable block sizes. Image frames are represented in terms of quadtrees that describe their division into blocks of varying sizes. Simulations show that variable block sizes allow for more efficient motion-based coding of video sequences than fixed block sizes do.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Johanna V. Gisladottir, Johanna V. Gisladottir, Kannan Ramchandran, Kannan Ramchandran, Michael T. Orchard, Michael T. Orchard, } "Motion-based representation of video sequences using variable block sizes", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); doi: 10.1117/12.233251; https://doi.org/10.1117/12.233251
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