Title :
Data mining framework for video data
Author :
Saravanan, D. ; SRINIVASAN, SUDARSHAN
Author_Institution :
Sathyabama Univ., Chennai, India
Abstract :
Content-based video analyzing and retrieval are important technologies, which have been an international research focus in recent ten years. It is needed urgently the advanced technologies for organizing, analyzing, representing, indexing, filtering, retrieving and mining the vast amount of videos to retrieve specific information based on video content effectively, and to provide better ways for entertainment and multimedia applications. Although numerous papers have been published on data mining few of them deal with video mining is focusing on low features, such as color, texture, audio and motion. Due to the inherent complexity of video data, existing data mining algorithms and techniques cannot be used directly in video. In this paper we try to focus new mining techniques designed to facilitate the video data mining process.
Keywords :
content-based retrieval; data mining; indexing; information filtering; video retrieval; content-based video analyzing; content-based video retrieval; entertainment; multimedia applications; video analysis; video data mining; video filtering; video indexing; video organization; video representation; Classification algorithms; Data mining; Databases; Histograms; Image color analysis; Semantics; Streaming media; Association Mining; Histogram; Mining Frame work; Video Data Mining;
Conference_Titel :
Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010
Conference_Location :
Chennai
Print_ISBN :
978-1-4244-9184-1
DOI :
10.1109/RSTSCC.2010.5712827