A Survey on Video Content Analysis

Yamini Gupta

Abstract


This work aims at developing a better understanding towards the process of Video Content Analysis. Video analysis is basically how the computer interprets any video. This process of analyzing is completed in 4 steps namely, feature extraction, Structural Analysis, Clustering and Indexing, Browsing and Retrieval. In this paper, we have included various algorithms to understand how each of the above steps is applied in analyzing of any of the sports video. For example, in cricket we first extract the various features by attacking on the most often occurring color, i.e. ground color. Then, we divide the video according to various high points e.g., sixes and fours. Finally we cluster these divisions and arrange them in a table of contents for users to browse and retrieve the video part they require.

Keywords


Video Content analysis, Key frames, shots, temporal boundaries, parsing, metadata clustering

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DOI: http://dx.doi.org/10.26472/ijrae.v1i2.23

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