Multiscale content extraction and representation for video indexing

Ahmet Mufit Ferman; A. Murat Tekalp

doi:10.1117/12.290352

6 October 1997 Multiscale content extraction and representation for video indexing

Ahmet Mufit Ferman, A. Murat Tekalp

Proceedings Volume 3229, Multimedia Storage and Archiving Systems II; (1997) https://doi.org/10.1117/12.290352
Event: Voice, Video, and Data Communications, 1997, Dallas, TX, United States

Abstract

This paper presents a general multiscale framework for extraction and representation of video content. The approach exploits the inherent multiscale nature of many TV and film productions to delineate an input stream effectively and to construct consistent scenes reliably. The method first utilizes basic signal processing techniques, and unsupervised clustering to determine shot boundaries in the video sequence. Similarity comparison using shot representative histograms and clustering to determine shot boundaries in the video sequence. Similarity comparison using shot representative histograms and clustering is then carried out within each shot to automatically select representative key frames. Finally, a model that takes into account the filmic structure of the input stream is discussed and developed to efficiently merge individual shots into coherent, meaningful segments, i.e. scenes.

Citation Download Citation

Ahmet Mufit Ferman and A. Murat Tekalp "Multiscale content extraction and representation for video indexing", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); https://doi.org/10.1117/12.290352

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available