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Query-centric video summarization focuses on generating concise video summaries that are tailored to a user's specific query or interest, rather than providing a generic overview. Unlike generic video summarization, which selects key frames or segments based on overall importance, query-centric approaches align the summary with semantic relevance to the input query. Techniques often leverage natural language processing, feature fusion, and deep learning to match visual content with textual queries, ensuring the resulting summary is both informative and contextually relevant. This improves user…mehr

Produktbeschreibung
Query-centric video summarization focuses on generating concise video summaries that are tailored to a user's specific query or interest, rather than providing a generic overview. Unlike generic video summarization, which selects key frames or segments based on overall importance, query-centric approaches align the summary with semantic relevance to the input query. Techniques often leverage natural language processing, feature fusion, and deep learning to match visual content with textual queries, ensuring the resulting summary is both informative and contextually relevant. This improves user satisfaction by providing personalized, query-driven insights from large volumes of video data.
Autorenporträt
Dr. Rakhi Akhare received her PhD Degree (Computer Engineering) from University of Mumbai, India, in 2025. She is currently working as an Assistant professor at Lokmanya Tilak College of Engineering, Navi Mumbai India. Her Research interest includes Computer Vision, NLP, Deep Learning and Big Data Analytics.