Downloads: 107
Review Papers | Computer Science & Engineering | India | Volume 3 Issue 8, August 2014
Performance Analysis of Content Based Video Retrieval System Using Clustering
Poonam O. Raut | Nita S. Patil [2]
Abstract: the multimedia storage grows and the cost for storing multimedia data is cheaper. So there is huge number of videos available in the video repositories. It is difficult to retrieve the relevant videos from large video repository as per user in-terest as users shift from text based retrieval systems to content based retrieval systems. Video retrieval is very important in multimedia database management. This paper offers an overview of the landscape of general strategies in visual content-based video retrieval, focusing on methods for video structure analysis, including shot boundary detection, key frame extraction, extraction of features including static key frame features, object feature, video retrieval including similarity measures and the proposed procedure consists of the unique aspect of clustering techniques.
Keywords: Content-Based Video Retrieval, Video Structure Analysis, Shot Boundary Detection, Key Frame Extraction, Similarity Measure, Video Retrieval
Edition: Volume 3 Issue 8, August 2014,
Pages: 737 - 740
Similar Articles with Keyword 'Shot Boundary Detection'
Downloads: 109
Research Paper, Computer Science & Engineering, India, Volume 3 Issue 8, August 2014
Pages: 829 - 833Comparison of Video Shot Detection and Video Summarization Techniques
Vijay Kumar D | Santhosh Kumar K.L | Jharna Majumdar [9]
Downloads: 112
Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 10, October 2014
Pages: 2365 - 2367A Survey on Event Recognition and Summarization in Football Videos
Dhanuja S Patil | Waykar S.B