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Analysis of MPEG-4 Encoder for Object-based Video  

Kim Min Hoon (Department of Information and Communication Engineering, Hanyang University)
Jang Euee Seon (Department of Information and Communication Engineering, Hanyang University)
Lee Sun young (Department of Information and Communication Engineering, Hanyang University)
Moon Seok ju (The College of Information and Communication Hanyang University)
Publication Information
Abstract
In this paper, we have analyzed the current MPEG-4 video encoding tools and proposed efcient coding techniques that reduce the complexity of the encoder. Until recently, encoder optimization without shape coding has been a major concern in video for wire/wireless low bit rate coding services. Recently, we found out that the computational complexity of MPEG-4 shape coding plays a very important role in the object-based coding through experiments. We have made an experiment whether we could get optimized object-based coding method through successfully combining latest optimized texture coding techniques with our proposed optimized shape coding techniques. In texture coding, we applied the MVFAST method for motion estimation. We chose not to use IVOPF(Intelligent VOP Formation) but to use TRB(Tightest Rectangular Boundary) for positioning VOP and, finally, to eliminate the spiral search of shape motion estimation to reduce the complexity in shape coding. As a result of experiment, our proposed scheme achieved improved time complexity over the existing reference software by $57.3\%$ and over the optimized method on which only shape coding was applied by $48.7\%$, respectively.
Keywords
MPEG-4; OVC; MEMC; MVFAST;
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