Detecting scene changes and activities in video databases
- 17 December 2002
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE)
Abstract
This paper presents an automated approach to detecting scene changes and activities which are meaningful to the user. We show that scene changes and activities may by treated as as a collection of motion discontinuities. We then discuss how this formulation call be used to transform video streams into features such as the sign of the Gaussian and mean curvature of spatiotemporal surfaces. The measurable features may be used to partition the video stream, mark occurrence in database timeline, and characterize shots in a video database. We present video segmentation experiments involving real video data Author(s) Hsu, P.R. Dept. of Electron. Eng., Tokyo Univ., Japan Harashima, H.Keywords
This publication has 6 references indexed in Scilit:
- Knowledge-guided parsing in video databasesPublished by SPIE-Intl Soc Optical Eng ,1993
- Cinematic primitives for multimediaIEEE Computer Graphics and Applications, 1991
- Generalizing Epipolar-Plane Image Analysis on the spatiotemporal surfaceInternational Journal of Computer Vision, 1989
- Smart sensing within a pyramid vision machineProceedings of the IEEE, 1988
- Picture segmentation using a recursive region splitting methodComputer Graphics and Image Processing, 1978
- Picture Segmentation by a Tree Traversal AlgorithmJournal of the ACM, 1976