A new shot level video browsing method based on semantic visual features (e.g., car, mountain, and fire) is proposed to facilitate content-based retrieval. The video's binary semantic feature vector is utilized to calculate the score of similarity between two shot keyframes. The score is then used to browse the "similar" keyframes in terms of semantic visual features. A pilot user study was conducted to better understand users' behaviors in video retrieval context. Three video retrieval and browsing systems are compared: temporal neighbor, semantic visual feature, and fused browsing system. The initial results indicated that the semantic visual feature browsing was effective and efficient for Visual Centric tasks, but not for Non-visual Centric tasks.

A new shot level video retrieval system that supports semantic visual features (e.g., car, mountain, and fire) browsing is developed to facilitate content-based retrieval. The video's binary semantic feature vector is utilized to calculate the score of similarity between two shot keyframes. The score is then used to browse the similar keyframes in terms of semantic visual features.

BACKGROUND: Microarray has been widely used to measure the relative amounts of every mRNA transcript from the genome in a single scan. Biologists have been accustomed to reading their experimental data directly from tables. However, microarray data are quite large and are stored in a series of files in a machine-readable format, so direct reading of the full data set is not feasible. The challenge is to design a user interface that allows biologists to usefully view large tables of raw microarray-based gene expression data. This paper presents one such interface--an electronic table (E-table) that uses fisheye distortion technology. RESULTS: The Fisheye Viewer for microarray-based gene expression data has been successfully developed to view MIAME data stored in the MAGE-ML format. The viewer can be downloaded from the project web site http://polaris.imt.uwm.edu:7777/fisheye/. The fisheye viewer was implemented in Java so that it could run on multiple platforms. We implemented the E-table by adapting JTable, a default table implementation in the Java Swing user interface library. Fisheye views use variable magnification to balance magnification for easy viewing and compression for maximizing the amount of data on the screen. CONCLUSION: This Fisheye Viewer is a lightweight but useful tool for biologists to quickly overview the raw microarray-based gene expression data in an E-table.

Four statistical visual feature indexes are proposed: SLM (Shot Length Mean), the average length of each shot in a video; SLD (Shot Length Deviation), the standard deviation of shot lengths for a video; ONM (Object Number Mean), the average number of objects per frame of the video; and OND (Object Number Deviation), the standard deviation of the number of objects per frame across the video. Each of these indexes provides a unique perspective on video content. A novel video retrieval interface has been developed as a platform to examine our assumption that the new indexes facilitate some video retrieval tasks. Initial feedback is promising and formal experiments are planned.