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 Â¿directing-ruleÂ¿ 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