Video shots provide the most basic meaningful segments for video analysis and understanding. In this paper, we present a detection and classification framework for the video shot ...
A system for video retrieval from a ubiquitous environment is presented. Data from pressure-based floor sensors are used as a supplementary input for retrieving video from a large...
Gamhewage C. de Silva, Takayuki Ishikawa, Toshihik...
Identifying short repeated video clips, such as news program logo, station logo, TV commercials, etc., from broadcasting video databases or streams is important for video content ...
Video data is increasingly being used in medical diagnosis. Due to the quality of the video and the complexities of underlying motion captured, it is difficult for an in-experienc...
Tanveer Fathima Syeda-Mahmood, Dulce B. Ponceleon,...
Advanced systems for finding, using, sharing, and remixing video require high-level representations of video content. A number of researchers have taken top-down, analytic approac...
Large-scale distributed video surveillance systems pose new scalability challenges. Due to the large number of video sources in such systems, the amount of bandwidth required to t...
With the rapid explosion of video data, compact representation of videos is becoming more and more desirable for efficient browsing and communication, which leads to a number of r...
Providing scalable video services in a peer-to-peer (P2P) environment is challenging. Since videos are typically large and require high communication bandwidth for delivery, many ...
We propose a novel semantic video summarization framework, which generates video skimmings that guarantee both the balanced content coverage and the visual coherence. First, we co...
Although many researches have investigated transparent scrambling video techniques, an issue of which transcoding relates to downsizing scrambled video without unscrambling has ha...