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Reference frame selection for loss-resilient depth map coding in multiview video conferencing.

, , , , and . Visual Information Processing and Communication, volume 8305 of SPIE Proceedings, page 83050C. SPIE, (2012)

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S-EMG Signal Compression in One-Dimensional and Two-Dimensional Approaches., , , and . IEEE J. Biomed. Health Informatics, 22 (4): 1104-1113 (2018)Reference frame selection for loss-resilient depth map coding in multiview video conferencing., , , , and . Visual Information Processing and Communication, volume 8305 of SPIE Proceedings, page 83050C. SPIE, (2012)Iterative Side-Information Generation in a Mixed Resolution Wyner-Ziv Framework., , and . IEEE Trans. Circuits Syst. Video Technol., 19 (10): 1409-1423 (2009)Side-Information Generation for Temporally and Spatially Scalable Wyner-Ziv Codecs., , , , and . EURASIP J. Image Video Process., (2009)A multi-agent model system for land-use change simulation., , , , , and . Environ. Model. Softw., (2013)Learning-based End-to-End Video Compression Using Predictive Coding., , , , , , , , , and . SIBGRAPI, page 160-167. IEEE, (2021)Improved two-dimensional dynamic S-EMG Signal compression with robust automatic segmentation., , , , and . Biomed. Signal Process. Control., (2021)Reference frame selection for loss-resilient texture & depth map coding in multiview video conferencing., , , , and . ICIP, page 1653-1656. IEEE, (2012)Multi-Mode Intra Prediction for Learning-Based Image Compression., , , , , , , , , and . ICIP, page 1296-1300. IEEE, (2020)Motion-Based Side-Information Generation for a Scalable Wyner-Ziv Video Coder., , and . ICIP (6), page 413-416. IEEE, (2007)