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Joint Quality Enhancement and Power Control for Wireless Visual Sensor Networks based on the Nash Bargaining Solution., , , , and . Digit. Signal Process., (2016)Power-aware QoS enhancement in multihop DS-CDMA Visual Sensor Networks., , , , and . DSP, page 1-6. IEEE, (2013)Cross-layer resource allocation for video transmission over wireless multi-access networks. University of Ioannina, Greece, (2014)National Archive of PhD Theses: oai:10442/37389.On the use of clustering for resource allocation in wireless visual sensor networks., , and . Visual Information Processing and Communication, volume 8305 of SPIE Proceedings, page 83050S. SPIE, (2012)Priority-based cross-layer optimization for multihop DS-CDMA Visual Sensor Networks., , , , and . ICIP, page 1101-1104. IEEE, (2012)Perceptually-Aligned Frame Rate Selection Using Spatio-Temporal Features., , and . PCS, page 288-292. IEEE, (2018)Predicting video rate-distortion curves using textural features., , , and . PCS, page 1-5. IEEE, (2016)Content-gnostic Bitrate Ladder Prediction for Adaptive Video Streaming., , and . PCS, page 1-5. IEEE, (2019)Resource management for wireless visual sensor networks based on individual video characteristics., , and . ICIP, page 149-152. IEEE, (2011)Understanding video texture - A basis for video compression., , , , and . MMSP, page 1-6. IEEE, (2017)