Aug. 24, 2022, 1:15 a.m. | Huairui Wang, Zhenzhong Chen

cs.CV updates on arXiv.org arxiv.org

Learned video compression methods have gained a variety of interest in the
video coding community since they have matched or even exceeded the
rate-distortion (RD) performance of traditional video codecs. However, many
current learning-based methods are dedicated to utilizing short-range temporal
information, thus limiting their performance. In this paper, we focus on
exploiting the unique characteristics of video content and further exploring
temporal information to enhance compression performance. Specifically, for
long-range temporal information exploitation, we propose temporal prior that
can …

arxiv compression information temporal video video compression

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