Adaptive motion estimation schemes using maximum mutual information criterion

We consider the motion estimation problem in video coding. In our previous work [10], we proposed a new motion estimation method where motion estimation is formulated as an optimization problem and an adaptive system under the minimum error entropy criterion is used for motion estimation. In this paper, we develop an adaptive system under the criterion of maximum mutual information to address the motion estimation problem. Our proposed motion estimation algorithms have very low encoding complexity and hence are ideally suited for wireless video sensor networks where limited bandwidth, restricted computational capability, and limited battery power supply impose stringent constraints on the video encoding system. ∗Please direct all correspondence to Prof. Dapeng Wu, University of Florida, Dept. of Electrical & Computer Engineering, P.O.Box 116130, Gainesville, FL 32611, USA. Tel. (352) 392-4954, Fax (352) 3920044, Email: [email protected], URL: http://www.wu.ece.ufl.edu. Jing Zhao is with Dept. of Electrical & Computer Engineering, University of Florida, Email: [email protected]. Deniz Erdogmus is with Department of Computer Science and Electrical Engineering at the OGI School of Science and Engineering, Oregon Health & Science University, Email: [email protected]. Yuguang Fang is with Dept. of Electrical & Computer Engineering, University of Florida, Email: [email protected]. Zhihai He is with Dept. of Electrical & Computer Engineering, University of Missouri, Columbia, Email: [email protected]. This work was supported in part by the US National Science Foundation (NSF) under grant DBI-0529012, DBI-0529082, and ECS-0524835. 0