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Summarizing video: Content, features, and HMM topologies
Date
2003-01-01
Author
Yasaroglu, Y
Alatan, Abdullah Aydın
Metadata
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Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License
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An algorithm is proposed for automatic summarization of multimedia content by segmenting digital video into semantic scenes using HMMs. Various multi-modal low-level features are extracted to determine state transitions in HMMs for summarization. Advantage of using different model topologies and observation sets in order to segment different content types is emphasized and verified by simulations. Performance of the proposed algorithm is also compared with a deterministic scene segmentation method. A better performance is observed due to the flexibility of HMMs in modeling different content types.
Subject Keywords
Hide markov model
,
Motion activity
,
Content type
,
Video summarization
,
Soccer video
URI
https://hdl.handle.net/11511/54718
Journal
VISUAL CONTENT PROCESSING AND REPRESENTATION, PROCEEDINGS
Collections
Department of Electrical and Electronics Engineering, Article
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Y. Yasaroglu and A. A. Alatan, “Summarizing video: Content, features, and HMM topologies,”
VISUAL CONTENT PROCESSING AND REPRESENTATION, PROCEEDINGS
, pp. 101–110, 2003, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54718.