A survey on the use of pattern recognition methods for abstraction, indexing and retrieval of images and video

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The need for content-based access to image and video information from media archives has captured the attention of researchers in recent years. Research efforts have led to the development of methods that provide access to image and video data. These methods have their roots in pattern recognition. The methods are used to determine the similarity in the visual information content extracted from low level features. These features are then clustered for generation of database indices. This paper presents a comprehensive survey on the use of these pattern recognition methods which enable image and video retrieval by content.

论文关键词:Content-based retrieval,Pattern recognition,Image databases,Video databases

论文评审过程:Received 5 June 2000, Revised 16 February 2001, Accepted 19 March 2001, Available online 17 December 2001.

论文官网地址:https://doi.org/10.1016/S0031-3203(01)00086-3