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Resource management for wireless visual sensor networks based on individual video characteristics.

, , and . ICIP, page 149-152. IEEE, (2011)

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Layered video transmission over wireless multirate DS-CDMA links., , , and . IEEE Trans. Circuits Syst. Video Techn., 15 (12): 1629-1637 (2005)Power-aware QoS enhancement in multihop DS-CDMA Visual Sensor Networks., , , , and . DSP, page 1-6. IEEE, (2013)Joint Quality Enhancement and Power Control for Wireless Visual Sensor Networks based on the Nash Bargaining Solution., , , , and . Digit. Signal Process., (2016)Optimal bit allocation for joint contour-based shape coding and shape adaptive texture coding., and . ICIP (1), page 589-592. IEEE, (2005)Rate-Distortion Optimized Video Transmission Over DS-CDMA Channels with Auxiliary Vector Filter Single-User Multirate Detection., and . IEEE Trans. Wirel. Commun., 6 (10): 3558-3566 (2007)Maximizing user utility in video streaming applications., , and . IEEE Trans. Circuits Syst. Video Technol., 13 (2): 141-148 (2003)Shape error concealment based on a shape-preserving boundary approximation., , and . ICIP, page 457-460. IEEE, (2010)MAP based resolution enhancement of video sequences using a Huber-Markov random field image prior model., and . ICIP (2), page 933-936. IEEE, (2003)Use of tight frames for optimized compressed sensing., , and . EUSIPCO, page 1439-1443. IEEE, (2012)Geometric Bargaining Approach for Optimizing Resource Allocation in Wireless Visual Sensor Networks., , and . IEEE Trans. Circuits Syst. Video Techn., 23 (8): 1388-1401 (2013)