Effective content-based video retrieval using pattern-indexing and matching techniques
Abstract—To retrieve videos from database, effective video analyzing, indexing and retrieval techniques are required. < Final Year Project >Video retrieval using query-by-image is not successful as it gives result of videos with less relevancy and accuracy. A method is proposed where input is a video clip, to achieve the high quality of content based video retrieval by discovering the temporal patterns in the video contents. On the basis of the discovered temporal patterns efficient indexing and sequence matching technique are integrated together to reduce the computation cost and to increase the retrieval accuracy, respectively. The method enriches content based video retrieval in terms of efficiency and effectiveness by using FPI and AFPI search methods in terms of precision and recall.
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