An approach to content-based video retrieval
Resource
2004 IEEE International Conference on Multimedia and Expo (ICME)
Journal
Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on
Journal Volume
1
Pages
273-276
ISBN (of the container)
9780780386037
ISBN
0780386035
Date Issued
2004-06
Date
2004-06
Author(s)
DOI
N/A
Abstract
In this paper, we propose an approach to retrieve the videos similar to the given query video from the database. Our proposed approach consists of three phases. First, every database video is segmented into several shots. Second, for each shot, one or more key frames are selected, and then a feature vector for each key frame is computed. So, every database video is transformed into a sequence of feature vectors. Third, to retrieve the videos similar to the given query video, the query video is also transformed into a sequence of feature vectors. Then, we use a dynamic programming approach to compute the similarity between the query video and each database video. The database videos with the similarity higher than a predefined threshold are output and returned to the user. The experimental results demonstrate that the more key frames are used in the query video, the better precision and recall can be obtained.
Type
other
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