Due to advanced in computer technology¡Avideo data are becoming available in the daily life. The method of managing Multi-media video database is more and more important¡Aand traditional database management for text documents is not suitable for video database; therefore, efficient video database must equip video summary. Video summarization contains a number of key-frame and the key-frame is a simple yet effective form of summarizing a video sequence and the video summarization help user browses rapidly and effectively find out video that the user wants to find. Video summarization except extraction of key-frame has another important key, the number of key-frame. When storage and network bandwidth are limited, the number of key-frame must conform to the limit condition and as far as possible find the representative key-frame. Video summarization is important topic for managing Multi-media video.
The number of key-frame in video summarization is related to distortion between video summarization and original video sequence. The number of key-frame is more, the distortion between video summarization and original video sequence is smaller. This paper emphasizes key-frame extraction and the rate of key-frame. First the user inputs the number of key-frame and then extracts the key-frame that has smallest distortion between original video sequence in key-frame number limit situation. In order to understand the entire video structure¡Athe Normalized the graph cuts(NCuts) group method is carried out to cluster similar video paragraph. The resulting clusters form a direction temporal graph and a shortest path algorithm is proposed to find main structure of video. The performance of the proposed method is demonstrated by experiments on a collection of videos from Open Vide Project. We provided a meaningful comparison between results of the proposed summarization with Open Vide storyboard and the PME based approach.
| Identifer | oai:union.ndltd.org:NSYSU/oai:NSYSU:etd-0724108-183905 |
| Date | 24 July 2008 |
| Creators | Chou, Chih-Wei |
| Contributors | Chung-Nan Lee, Yi-Wu Chaing, Jung-Jae Chao |
| Publisher | NSYSU |
| Source Sets | NSYSU Electronic Thesis and Dissertation Archive |
| Language | Cholon |
| Detected Language | English |
| Type | text |
| Format | application/pdf |
| Source | http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724108-183905 |
| Rights | off_campus_withheld, Copyright information available at source archive |
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