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)
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)
We describe a new indexing structure, named the MB +-tree which has been designed to assist content-based retrieval in image and video databases. We initially consider the types of queries that would be prevalent in such databases and map them to nearest-neighbor searches and range searches in a multidimensional space. The MB +-tree is based on linear order(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)
Dedication To m y parents ii Acknowledgments I w ould like to express my deep appreciation to my advisor, Prof. Antonio Ortega, for his valuable advice, muniicent helps, and friendship during the essential stage of my study. I also would like to express my deep gratitude to Prof. C.-C. Jay Kuo, for his generous support, constant encouragement and friendship(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 MBone-based proxies in the(More)
A feature-based representation model for content-based retrieval from a remote sensed image database is described in this work. The representation is formed by clustering spatially local pixels, and the cluster features are used to process several types of queries which are expected to occur frequently in the context of remote sensed image retrieval.(More)
A method based on the joint indexing of spatial and spectral information is presented for the purposes of content-based color and multispectral image retrieval. The image representation consists of hierarchical spatial structuring along with feature extraction in localized regions of the image. The algorithm comprises of a quadtree based image splitting(More)