Measurements of an off-the-shelf DRAM chip confirm that different cells retain information for
different amounts of time. This result extends to DRAM rows, or pages (retention time of a …

Semantic filtering and retrieval of multimedia content is crucial for efficient use of the
multimedia data repositories. Video query by semantic keywords is one of the most difficult …

We present a learning-based approach to the semantic indexing of multimedia content using
cues derived from audio, visual, and text features. We approach the problem by developing …

Video query by semantic keywords is one of the most challenging research issues in video
data management. To go beyond low-level similarity and access video data content by …

Multimedia understanding is a fast emerging interdisciplinary research area. There is
tremendous potential for effective use of multimedia content through intelligent analysis …

As amounts of publicly available video data grow the need to query this data efficiently
becomes significant. Consequently content-based retrieval of video data turns out to be a …

The last two decades have resulted in a substantial progress in the multimedia and storage
technology that has led to building of a large repository of digital image, video, and audio …

A class of audio-visual data (fiction entertainment: movies, TV series) is segmented into
scenes, which contain dialogs, using a novel hidden Markov model-based (HMM) method …

In this paper, we offer an entirely new view to the problem of high level video parsing. We
developed a novel computation method for affective level video segmentation. Its function …

Production videos such as news, sports and movies have a definitive structure that involves
short term interaction as well as long term correlation. This structure in video can be …