Asha Vellaikal

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Current information and communication technologies provide the infrastructure to send bits anywhere, but do not presume to handle information at the semantic level. This paper investigates the use of video content analysis and feature extraction and clustering techniques for further video semantic classifications and a supervised rule based video(More)
Digital video's increased popularity has been driven to a large extent by a urry of recently proposed international standards (MPEG-1, MPEG-2, H.263, etc.). In order to transmit compressed videos over a communication channel, it is required to control the compression in the encoder such that the output data rate can be t within the channel constraints. The(More)
We introduce the concept of semantic multicast to implement a large-scale shared interaction infrastructure providing mechanisms for collecting, indexing, and disseminating the information produced in collaborative sessions. This infrastructure captures the interactions between users (as video, text, audio and other data streams) and promotes a philosophy(More)
A new approach of using the VQ codewords as the remote sensed image features for content based retrieval is proposed in this research. Diierent distortion measures are tried in the VQ stage to enhance the performance of the codewords as \content descriptors"including classiication accuracy. A system based approach has been taken to ensure that the features(More)
Network-based computing is becoming an increasingly important area of research, whereby computational elements within a distributed infrastructure process/enhance the data that traverses through its path. We refer to these computations as online processing and this paper investigates scene change detection in the context of MBonebased proxies in the(More)
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