Color superhistograms for video representation

Author

Dimitrova, Nevenka ; Martino, Jacquelyn ; Agnihotri, Lalitha ; Elenbaas, Herman

Author_Institution

Philips Res., Briarcliff Manor, NY, USA

Volume

3

fYear

1999

fDate

1999

Firstpage

314

Abstract

In this paper we present a novel method for computing superhistograms to represent video segments. We build cumulative histograms for video shots and scenes. The underlying assumption is that a TV program has a consistent color palette, which can be derived as a family of merged individual shot histograms. We present the experimental results computed from several hours of different TV programs such as sitcoms, serials and news. The superhistograms representing episodes of the same sitcom look strikingly similar. The histograms extracted from TV news are not similar to the histograms extracted from sitcoms. However, there are superhistograms extracted from different sitcoms, which show certain resemblance to each other. This method can be used in a variety of applications that need video classification and retrieval methods such as video editing, studio archival, digital libraries, consumer products, and web crawling

Keywords

image classification; image representation; image retrieval; image segmentation; retrieval; studio archival; superhistograms; video classification; video editing; video representation; video segments; Consumer electronics; Consumer products; Digital TV; Histograms; Image color analysis; Indexing; Information analysis; Layout; Multimedia systems; Software libraries;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on

Conference_Location

Kobe

Print_ISBN

0-7803-5467-2

Type

conf

DOI

10.1109/ICIP.1999.817126

Filename

817126