Abstract-Video indexing and retrieval have a wide spectrum of promising applications, motivating the interest of researchers worldwide. This paper offers a tutorial and an overview of the landscape of general strategies in visual content-based video indexing and retrieval, focusing on methods for video structure analysis, including shot boundary detection, key frame extraction and scene segmentation, extraction of features including static key frame features, object features and motion features, video data mining, video annotation, video retrieval including query interfaces, similarity measure and relevance feedback, and video browsing. Finally, we analyze future research directions. Index Terms-Feature extraction, video annotation, video browsing, video retrieval, video structure analysis.
As reviewed in REF , many content-based video retrieval methods have been proposed.
A Survey on Visual Content-Based Video Indexing and Retrieval
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
Computer Science