期刊名称:BVICAM's International Journal of Information Technology
印刷版ISSN:0973-5658
出版年度:2009
卷号:1
期号:1
出版社:Bharati Vidyapeeth's Institute of Computer Applications and Management
摘要:The multimedia databases and the need to intuitively handle their content, which meets the user’s requirements with the available content based video indexing and retrieval technology, are the main focus of the research in the field of multimedia and computer vision. The researchers mainly focus on the problem of bridging the “semantic gap” between a user’s need for meaningful retrieval and the current technology for computational analysis and description of the media content. It takes into account both the high complexity of the real-world implementation and user’s need for conceptual video retrieval and browsing. In this paper, the initial work done in this area during last 15 years has been categorized in three generations. The key technologies in each generation are reviewed and characterized based on the standard parameters. It is found that in first and second generation all techniques are semantic less techniques, but in third generation, techniques based on semantics have been evolved. But still most of the techniques are in their infancy and require lots of research for their use in daily applications. In last a solution is proposed for a general purpose multimedia mining application which caters to the needs of the different types of domains.