Publication Type

Conference Proceeding Article

Version

publishedVersion

Publication Date

7-2003

Abstract

The concept of a documentary scene was inferred from the audio-visual characteristics of certain documentary videos. It was observed that the amount of information from the visual component alone was not enough to convey a semantic context to most portions of these videos, but a joint observation of the visual component and the audio component conveyed a better semantic context. From the observations that we made on the video data, we generated an audio score and a visual score. We later generated a weighted audio-visual score within an interval and adaptively expanded or shrunk this interval until we found a local maximum score value. The video ultimately will be divided into a set of intervals that correspond to the documentary scenes in the video. After we obtained a set of documentary scenes, we made a check for any redundant detections.

Keywords

Gaussian Mixture Model, Semantic Context, Visual Score, Scene Change, Shot Boundary

Discipline

Computer Sciences | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

Image and Video Retrieval: 2nd International Conference, CIVR 2003, Urbana-Champaign, IL, July 24-25: Proceedings

Volume

2728

First Page

227

Last Page

237

ISBN

9783540451136

Identifier

10.1007/3-540-45113-7_23

Publisher

Springer

City or Country

Cham

Additional URL

https://doi.org/10.1007/3-540-45113-7_23

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