Saurav K. Bandyopadhyay

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In this paper, an optimal framework is proposed for the joint encoding of the shape and texture information in object based video. The solution is optimal in the operational rate distortion sense, i.e, given the coding setup, the solution guarantees the smallest possible distortion for a given rate. The shape is approximated using polygons or higher order(More)
In this paper, we consider the problem of video transmission over wireless generalized multicarrier code division multiple access (GMC-CDMA) systems. Such systems offer deterministic elimination of multiple access interference. A scalable video source codec is used and a multirate setup is assumed, i.e., each video user is allowed to occupy more than one(More)
— The video frame mainly consists of foreground and background objects. For effective detection and tracking of moving objects background subtraction is a very important part of surveillance applications for successful segmentation of objects from video sequences. In this paper we mainly survey these methods for autonomous detection and tracking of moving(More)
Generalized multi carrier code division multiple access (GMC-CDMA) is a promising technique for achieving high data rate transmission capacity in interference-limited cellular systems. A key challenge in a multirate GMC-CDMA system for video transmission is the optimal power allocation between the sub-channels that maximizes the received video quality(More)
In this paper, an optimal framework is proposed for the joint encoding of the texture and shape information in object based video. The solution is optimal in the operational rate distortion sense i.e. given one coding setup the solution will guarantee the smallest possible distortion for a given rate. The shape is approximated using polygons or higher order(More)
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