| Autor: |
M. K. Geetha, S. Palanivel |
| Jazyk: |
angličtina |
| Rok vydání: |
2009 |
| Předmět: |
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| Zdroj: |
International Journal of Computational Intelligence Systems, Vol 2, Iss 1 (2009) |
| Druh dokumentu: |
article |
| ISSN: |
1875-6883 |
| DOI: |
10.2991/jnmp.2009.2.1.5 |
| Popis: |
Appropriate organization of video databases is essential for pertinent indexing and retrieval of visual information. This paper proposes a new feature called Block Intensity Comparison Code (BICC) for video classification and an unsupervised shot change detection algorithm to detect the shot changes in a video stream using autoassociative neural network (AANN) which makes retrieval problems much simpler. BICC represents the average block intensity difference between blocks of a frame. A novel AANN misclustering rate (AMR) algorithm is used to detect the shot transitions. The experiments demonstrate the effectiveness of the proposed methods. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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