Video compression with dense motion fields

被引:18
作者
Han, SC [1 ]
Podilchuk, CL
机构
[1] C Cube Microsyst, Milpitas, CA 95132 USA
[2] Bell Labs, Lucent Technol, Murray Hill, NJ 07974 USA
关键词
Markov random field; motion compensation; motion field; video compression;
D O I
10.1109/83.967388
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
We propose a motion-compensated video coding system employing dense motion fields. The dense motion field is calculated at the transmitter, and the motion information is efficiently encoded and transmitted along with the residual frame. The motion estimation is performed by existing techniques in the literature, while we focus on the coding of the motion field and the displaced frame difference (DFD) frame. The dense motion field formulation leads to several novel and distinct advantages. The motion field is encoded in a lossy manner to make the motion rate manageable. The more accurate and precise motion description allows us to predict where the DFD energy will be significant, thus leading to a more efficient DFD encoder compared to applying traditional still-image coding techniques. Furthermore, the dense motion field framework allows us to refine and tailor the motion estimation process such that the resulting DFD frame is easier to encode. Simulations demonstrate superior performance against standard block-based coders, with greater advantages for sequences with more complex motion.
引用
收藏
页码:1605 / 1612
页数:8
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