Compression using self-similarity-based temporal super-resolution for full-exposure-time video

In order to allow sufficient amount of light into the image sensor, videos captured in poor lighting conditions typically have low frame rate and frame exposure time equals to inter-frame period— commonly called full exposure time (FET). FET low-frame-rate videos are common in situations where lighting cannot be improved a priori due to practical (e.g., large physical distance between camera and captured objects) or economical (e.g., long duration of nighttime surveillance) reasons. Previous work in computer vision has shown that content at a desired higher frame rate can be recovered (to some extent) from the captured FET video using self-similaritybased temporal super-resolution. From an end-to-end communication standpoint, however, the following practical question remains: what is the most compact representation of the captured FET video at encoder, given that a higher frame rate reconstruction is desired at the decoder? In this paper, we present a compression strategy, where, f...

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Mihoko Shimano, Gene Cheung, Imari Sato
• Keywords: Captured Fet Video, FET Video, Frame Rate, ICASSP 2011, Signal Processing