Commercial Shot Classification Based on Multiple Features Combination

Nan LIU  Yao ZHAO  Zhenfeng ZHU  Rongrong NI  

IEICE TRANSACTIONS on Information and Systems   Vol.E93-D    No.9    pp.2651-2655
Publication Date: 2010/09/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E93.D.2651
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
video categorization,  video analysis,  commercial detection,  Co-AdaBoost,  mid-level descriptor,  

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This paper presents a commercial shot classification scheme combining well-designed visual and textual features to automatically detect TV commercials. To identify the inherent difference between commercials and general programs, a special mid-level textual descriptor is proposed, aiming to capture the spatio-temporal properties of the video texts typical of commercials. In addition, we introduce an ensemble-learning based combination method, named Co-AdaBoost, to interactively exploit the intrinsic relations between the visual and textual features employed.