M. Kalaiselvi Geetha

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Appropriate organization of video databases is essential for pertinent indexing and retrieval of visual information. This paper proposes a new feature called Block Intensity Comparison Code (BICC) for video classification and an unsupervised shot change detection algorithm to detect the shot changes in a video stream using autoassociative neural network(More)
Automatic classification of video content is receiving increased impact in the multimedia information processing. This paper inspects the problem of automatic video classification using static and dynamic features. Five different genres such as cartoon, sports, commercials, news and TV serial are studied for assessment. The approach exploits edge(More)
Recognition of human actions is a very important, task in many applications such as Human Computer Interaction, Content based video retrieval and indexing, Intelligent video surveillance, Gesture Recognition, Robot learning and control, etc. An efficient action recognition system using Difference Intensity Distance Group Pattern (DIDGP) method and(More)
Human gesture recognition has become a very important topic in computer vision. The purpose of this survey is to provide a detailed overview and categories of current issues and trends. The recognition of human hand gesture movement can be performed at various level of abstraction. This survey concentrate on approaches that aim on recognizing traffic police(More)