March 27, 2024, 4:46 a.m. | Qiqi Hou, Farzad Farhadzadeh, Amir Said, Guillaume Sautiere, Hoang Le

cs.CV updates on arXiv.org arxiv.org

arXiv:2403.17879v1 Announce Type: new
Abstract: The rise of new video modalities like virtual reality or autonomous driving has increased the demand for efficient multi-view video compression methods, both in terms of rate-distortion (R-D) performance and in terms of delay and runtime. While most recent stereo video compression approaches have shown promising performance, they compress left and right views sequentially, leading to poor parallelization and runtime performance. This work presents Low-Latency neural codec for Stereo video Streaming (LLSS), a novel parallel …

abstract arxiv autonomous autonomous driving compression cs.cv delay demand driving eess.iv latency low performance rate reality streaming terms type video video compression view virtual virtual reality

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