Compressed Vision for Efficient Video Understanding

Compressed-domain Object Detection for Video Understanding

In this paper, a novel algorithm for the real-time, unsupervised object detection in compressed-domain sequences is proposed. The algorithm utilizes color and motion information present in the compressed stream as well as a simple object model. Extraction of the MPEG-7 dominant color descriptor, clustering of macroblocks to dominant color clusters and model-based cluster selection are employed ...

An Efficient Watermarking Scheme for H.264/avc Compressed Video

Since H.264/AVC is the most widely-deployed video coding standard and has gained dominance, the necessity of copyright protection and authentication that are appropriate for this standard is unquestionable. According to H.264/AVC specific codec architecture, an efficient watermarking scheme for H.264/AVC video is proposed. The watermark information is embedded into quantized residual coefficien...

Cognitive vision systems for video understanding and retrieval

An Efficient Adaptive Boundary Matching Algorithm for Video Error Concealment

Sending compressed video data in error-prone environments (like the Internet and wireless networks) might cause data degradation. Error concealment techniques try to conceal the received data in the decoder side. In this paper, an adaptive boundary matching algorithm is presented for recovering the damaged motion vectors (MVs). This algorithm uses an outer boundary matching or directional tempo...

Video Abstraction in H.264/AVC Compressed Domain

Video abstraction allows searching, browsing and evaluating videos only by accessing the useful contents. Most of the studies are using pixel domain, which requires the decoding process and needs more time and process consuming than compressed domain video abstraction. In this paper, we present a new video abstraction method in H.264/AVC compressed domain, AVAIF. The method is based on the norm...