| Summary: | 碩士 === 國立交通大學 === 電子工程系所 === 94 === In this thesis, a real-time surveillance system is proposed. Besides real-time monitoring, recording and replaying, we also focus on the enhancement of compression rate. Additionally, because the capture frames are in the interlaced form, we propose a new de-interlacing method. Moreover, we also propose a new image scaling method to improve the quality of scaled images.
In compression and recording, we adopt a software solution that is based on MPEG4 simple profile. To further enhance the compression rate, three additional methods are adopted. If there is no change in the monitored scene, we perform frame-skip. If there are changes in the scene, we will detect the corresponding parts of the images and save only the information of those parts. Moreover, if the video has been under no change for a while, we’ll also change the value of QP (Quantization Parameter) to further enhance the compression rate.
In replaying, a new de-interlacing method is proposed which is based on MA-IPC (Motion adaptive interlace-to-progress conversion). In the spatial domain, we propose a new method based on grouping. Based on grouping, the proposed method combines the advantages of LA (Line Average) method and the Median method. Moreover, a content-based image scaling method is also proposed which is a combination of NN (Nearest Neighborhood), Bilinear and Win-scale. We also propose a new idea named model-based NN to improve the quality of scaled images.
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