The past few years have witnessed great success in applying deep learning to enhance the quality of compressed image/video. The existing approaches mainly focus on enhancing the quality of a single frame, ignoring the similarity between consecutive frames. In this paper, we investigate that heavy quality fluctuation exists across compressed video frames, and thus low quality frames can be enhan...

Video fingerprinting is a newer research area. It is also called “content-based video copy detection” or “content-based video identification” in literature. The goal is to locate videos with segments substantially identical to segments of a query video while tolerating common artifacts in video processing. Its value as a tool to curb piracy and legally monetize contents becomes more and more ap...

One inherent problem of network video is the sensitivity of the compressed bit-stream to data loss. Since block motion compensation is widely adopted in present day video coding standards, any damage to these compressed video bitstreams may lead to degradation of video quality due to error propagation and accumulation. This paper introduces a new scheme for robust coding and transmission of vid...

Publicly available long video traces encoded according to H.264/AVC were analyzed from the fractal and multifractal points of view. It was shown that such video traces, as compressed videos (H.261, H.263, and MPEG-4 Version 2) exhibit inherent longrange dependency, that is, fractal, property. Moreover they have high bit rate variability, particularly at higher compression ratios. Such signals m...

To keep pace with the increased popularity of digital video as an archival medium, the development of techniques for fast and eecient analysis of video streams is essential. In particular, solutions to the problems of storing, indexing, browsing, and retrieving video data from large multimedia databases are necessary to allow access to these collections. Given that video is often stored eecient...

Compressed domain processing of video has been a widely used tool in enabling computationally efficient video analysis in the last decade or so since the standardization of video compression in the form of MPEGx/H.26x. We consider the use of such features in the meeting domain to reduce the processing time of video analysis. We review the various compressed domain features that can be extracted...

Conventional processing of compressed image or video data involves first decompressing the data and applying the desired processing function, and then the processed data are recompressed for the purposes of transmission or storage. We propose an efficient scheme which involves direct manipulation of compressed domain representation to achieve the desired spatial domain processing. For direct ma...