Summarizing video: Content, features, and HMM topologies

Date

2003-01-01

Author

Yasaroglu, Y
Alatan, Abdullah Aydın

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This work is licensed under a 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

Collections

Department of Electrical and Electronics Engineering, Article