DocumentCode :
2472019
Title :
Film shot classification using directing semantics
Author :
Wang, Hee Lin ; Cheong, Loong-Fah
Author_Institution :
Inst. of Infocomm Res., Nat. Univ. of Singapore, Singapore, Singapore
fYear :
2008
fDate :
8-11 Dec. 2008
Firstpage :
1
Lastpage :
4
Abstract :
We propose a film directing semantics taxonomy grounded upon cinematographic elements to unlock the immense potential for motion indexing in the subtler and much neglected film domain. A novel ¿directing-rule¿ inspired MRF-based motion segmentation algorithm is formulated to extract salient motion descriptors for the classification of the proposed directing semantics. Experimental results validate the resultant framework for classifying Hollywood movie shots into these directing semantics.
Keywords :
Markov processes; cinematography; feature extraction; image classification; image motion analysis; image segmentation; random processes; video signal processing; MRF-based motion segmentation algorithm; cinematographic element; film directing semantics taxonomy; film shot classification; motion descriptor extraction; motion indexing; Cameras; Cinematography; Computer vision; Indexing; Layout; Motion pictures; Motion segmentation; Production; Taxonomy; Tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
ISSN :
1051-4651
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
Type :
conf
DOI :
10.1109/ICPR.2008.4760960
Filename :
4760960
Link To Document :
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