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What is Multi-Level Video Representation via MSA about?

This paper presents a robust method for multi-level video representation using mean shift analysis (MSA) of low-level visual features. The proposed method allows for efficient video summarization, classification, and retrieval without the need for initializing cluster centers, making it more suitable for large video datasets. The paper discusses the principles of MSA and compares the effectiveness of the proposed approach with traditional clustering methods.

Author

haigao

Language

EN