End-to-End Learning for Video Frame Compression with Self-Attention

20 Apr 2020Nannan ZouHonglei ZhangFrancesco CricriHamed R. TavakoliJani LainemaEmre AksuMiska HannukselaEsa Rahtu

One of the core components of conventional (i.e., non-learned) video codecs consists of predicting a frame from a previously-decoded frame, by leveraging temporal correlations. In this paper, we propose an end-to-end learned system for compressing video frames... (read more)

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