| Summary: | 碩士 === 國立成功大學 === 工程科學系碩博士班 === 95 === Camera motion estimation is very important from a video processing view. Video application, including object segmentation and tracking, mosaic and content-based video indexing and retrieval, based on the video content should represent motion efficiently. Since, to decode MPEG video and estimate camera motion is extremely time-consuming. To obtain efficient estimates of camera motion by directly processing data easily obtained from MPEG-compressed video becomes more important.
In this thesis, two main concerns of camera motion estimation from motion vector are addressed. Firstly, we introduce the connection from a GOP to next GOP by B-frame bidirectional reference. Secondly, we propose a 2-pass camera motion estimation to cope with outliers caused by the uncertainty of motion vectors directly from MPEG video format. Experiment results show that the 2-pass camera motion estimation method is reliable. Finally, we have developed a mosaic system by applying the proposed method.
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