| Author: | Man, Yiu-keung |
| Title: | Study on video segmentation |
| Degree: | M.Sc. |
| Year: | 2000 |
| Subject: | Videodiscs Image processing Hong Kong Polytechnic University -- Dissertations |
| Department: | Multi-disciplinary Studies Department of Electronic and Information Engineering |
| Pages: | [56] leaves : ill. ; 31 cm |
| Language: | English |
| Abstract: | It is well known that object-based coding techniques substantially increase the data compression rate. This is very important; especially in very low bit rate applications like video conferencing. It is a big challenge for transmitting the real time video data under 64k bit/s in a channel. The key issue of an object-based coding is segmentation in which the moving objects are extracted or segmented out from a picture sequence. Segmentation is a classical topic in image processing. It is a process to extract a specific group of pixels of interest and identify them from others. In can be done either in two dimensional case or three dimensional case. Traditionally, block based motion estimation is used in video pictures coding. The scope of this dissertation is to investigate the effect of motion estimation and to apply it to segmentation and background removal. If we divide the pictures of video sequences into a number of blocks, we can locate the moving segments with motion estimation. Once the moving blocks are detected, we split them into a number of small blocks and carry out motion estimation again. The moving segments are more accurately located as the block size decreases. Moreover, for video sequences with moving backgrounds, they usually move in the same direction. By examining the direction of background segments movement, we can locate the moving block with the help of motion estimation. We have been able to remove the background based on this block motion estimation technique. For a comparison purpose, some existing video segmentation algorithms have also been studied. |
| Rights: | All rights reserved |
| Access: | restricted access |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| b15176861.pdf | For All Users (off-campus access for PolyU Staff & Students only) | 2.95 MB | Adobe PDF | View/Open |
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