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  4. 使用動態規劃法之內涵式視訊搜尋
 
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使用動態規劃法之內涵式視訊搜尋

Other Title
A Dynamic Programming Approach to Content-based Video Searching
Date Issued
2000
Date
2000
Author(s)
李瑞庭  
DOI
892213E002015
URI
http://ntur.lib.ntu.edu.tw//handle/246246/18806
Abstract
In this project, we propose a dynamic programming approach to content-based video searching. First, each video is segmented into several shots, each of which is represented by a key frame. Each key frame is characterized by a feature vector, including color, texture, shape, etc. Second, a user may query the video database by a query video to search the best matched video or a set of videos with the similarity greater than a threshold. The proposed content-based video searching algorithm has the following properties: 1. Query a video database by the content of an example video. 2. Use a dynamic programming approach to find the best matched video. 3. The complexity of the algorithm is bounded by O(mn), where m is the number of key frames in the query video and n is the total number of key frames of videos in the database. 4. Keep the temporal constraints on the query. 5. Provide similarity search. 6. The more shots are contained in the query video, the higher precision and recall are.
Subjects
Video data
Video frame
Shot
Scene
Index
Dynamic Programming
Publisher
臺北市:國立臺灣大學資訊管理學系暨研究所
Type
other
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892213E002015.pdf

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