Abstract
Developments in multimedia technologies have paved way for the storage of huge collections of video documents on computer systems. It is essential to design tools for content-based access to the documents, so as to allow an efficient exploitation of these collections. Content based analysis provides a flexible and powerfulway to access video data when compared with the other traditional video analysis techniques. The area of content based video indexing and retrieval (CBVIR), focusing on automating the indexing, retrieval and management of video, has attracted extensive research in the last decade. CBVIR is a lively area of research with enduring acknowledgments from several domains. Herein a vital assessment of contemporary researches associated with the content-based indexing and retrieval of visual information. In this paper, we present an extensive review of significant researches on CBVIR. Concise description of content based video analysis along with the techniques associated with the content based video indexing and retrieval is presented.
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R. PRIYA received BS in Computer Science from Madras University and MS in Software Engineering from Annamalai University, in 1998 and 2001, respectively. She is currently a research scholar in Department of Mathematics, Anna University-Chennai, India. Her research interests are data mining, content based image and video retrieval.
Dr. T. N. Shanmugam is currently a professor in Department of Mathematics, Anna University, and Chennai, India. He received his BS in Mathematics from The New College, Chennai and MS from Ramanujan Institute for Advanced study Mathematics, University of Madras. He received his PhD from Anna University-Chennai in the year 1990. He has been a co-ordinator of the Video Technology Lab of Anna University-Chennai. His research interests are in complex function theory and multimedia streaming, with about eighty research papers in international journals and conferences.
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Priya, R., Shanmugam, T.N. A comprehensive review of significant researches on content based indexing and retrieval of visual information. Front. Comput. Sci. 7, 782–799 (2013). https://doi.org/10.1007/s11704-013-1276-6
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DOI: https://doi.org/10.1007/s11704-013-1276-6