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In this article, we propose an error-resilient transmission method for progressively compressed 3D models. The proposed method is scalable with respect to both channel bandwidth and channel packet-loss rate. We jointly design source and channel coders using a statistical measure that (i) calculates the number of both source and channel coding bits, and (ii)(More)
— Cooperative diversity techniques exploit the spatial characteristics of the network to create transmit-diversity, in which the same information can be forwarded through multiple paths towards a single destination or a set of destination nodes. In this paper, we study the integration of cooperative diversity into wireless routing protocols by developing(More)
Three-dimensional television (3DTV) is believed to be the future of television broadcasting that would replace current 2D HDTV technology. Future 3DTV would bring a more life-like and visually immersive home entertainment experience, in which users will have the freedom to navigate through the scene to choose a different viewpoint. A desired view can be(More)
We consider the distributed estimation by a network consisting of a fusion center and a set of sensor nodes, where the goal is to maximize the network lifetime, defined as the estimation task cycles accomplished before the network becomes nonfunctional. In energy-limited wireless sensor networks, both local quantization and multihop transmission are(More)
Recent two-stream deep Convolutional Neural Networks (ConvNets) have made significant progress in recognizing human actions in videos. Despite their success, methods extending the basic two-stream ConvNet have not systematically explored possible network architectures to further exploit spatiotemporal dynamics within video sequences. Further , such networks(More)
In this paper, we consider the distributed parameter estimation in wireless sensor networks where a total bit rate constraint is imposed. We study the optimal tradeoff between the number of active sensors and the quantization bit rate for each active sensor to minimize the estimation mean-square error (MSE). To facilitate the solution, we first introduce a(More)
— In this paper, a packet-loss resilient, bandwidth-scalable 3-D graphics streaming system is proposed. It uses the Compressed Progressive Mesh (CPM) algorithm [1] to generate a hierarchical bit-stream to represent different levels of details (LODs). We assign forward error correction (FEC) codes to each layer in the encoded bit-stream according to its(More)
This paper addresses the problem of streaming progressively compressed 3-D models over lossy networks. Out of all encoded packets that can be transmitted, we intelligently choose a subset of packets to be transmitted using TCP in order to meet a distortion constraint, while transmitting the remaining packets using UDP to minimize the end-to-end delay. We(More)
— The efficient progressive transmission of a textured 3D model, which has a texture image mapped on a geometric mesh, requires careful organization of the bitstream to quickly present high-resolution visualization on the user's screen. Bit-rates for the mesh and the texture need to be properly balanced so that the decoded model has the best visual fidelity(More)