Automatic Panel Extraction of Color Comic Images

Chung Ho Chan, Howard Leung, Taku Komura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

In this paper, an automatic approach for detecting and extracting panels in a color comic image is proposed. Panel extraction is challenging because the background color, the background pixel locations, the panel shapes and the panel layout are not known in advance. In our approach, uniform color stripes are first identified and used as separators to segment the color comic page image into sub-regions in a recursive manner. Panels are recognized as the sub-regions that cannot be further segmented. The structure of the panels is thus obtained in the extraction process and it contains the layout of the panels as well as the reading order. Panel extraction is useful because: 1) the extracted panels can be better fitted into a handheld device for viewing; and 2) the panels can then be further analyzed to extract features used for content based indexing and retrieval.
Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing – PCM 2007
Subtitle of host publication8th Pacific Rim Conference on Multimedia, Hong Kong, China, December 11-14, 2007. Proceedings
EditorsHorace H.-S. Ip, Oscar C. Au, Howard Leung, Ming-Ting Sun, Wei-Ying Ma, Shi-Min Hu
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Pages775-784
Number of pages10
ISBN (Electronic)978-3-540-77255-2
ISBN (Print)978-3-540-77254-5
DOIs
Publication statusPublished - 2007

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume4810
ISSN (Print)0302-9743

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