Massive neural video compression with temporal subsampling

The large amounts of information involved in the transmission and storage of video data requires massive compression for efficient storage and transmission. However state-of-the-art video compression techniques do not achieve compression levels which are large enough to transmit video data on low band-width links. Thus compression levels need to be improved by a factor of 2 to 10 before they will become useful on the kinds of links which may be encountered in personal communications and cellular telephony. In this paper we present a new video compression technique which makes use of temporal subsampling and reconstruction of frames. When used in conjunction with our adaptive neural video compression (ANVC) technique, this new method leads to compression ratios as high as 500:1 for gray scale sequences with little loss of video quality