CASIA OpenIR  > 模式识别国家重点实验室  > 图像与视频分析
Using context saliency for movie shot classification
Xu, Min; Wang, Jinqiao; Hasan, Muhammad A; He, Xiangjian; Xu, Changsheng; Lu, Hanqing; Jin, Jesse S.
Conference NameInternational Conference on Image Processing, ICIP
Source PublicationInternational Conference on Image Processing (ICIP)
Conference Date2011
Conference PlaceBrussels, Belgium
AbstractMovie shot classification is vital but challenging task due to
various movie genres, different movie shooting techniques
and much more shot types than other video domain. Variety
of shot types are used in movies in order to attract audiences
attention and enhance their watching experience. In this paper,
we introduce context saliency to measure visual attention
distributed in keyframes for movie shot classification. Different
from traditional saliency maps, context saliency map
is generated by removing redundancy from contrast saliency
and incorporating geometry constrains. Context saliency is
later combined with color and texture features to generate feature
vectors. Support Vector Machine (SVM) is used to classify
keyframes into pre-defined shot classes. Different from
the existing works of either performing in a certain movie
genre or classifying movie shot into limited directing semantic
classes, the proposed method has three unique features: 1)
context saliency significantly improves movie shot classification;
2) our method works for all movie genres; 3) our method
deals with the most common types of video shots in movies.
The experimental results indicate that the proposed method is
effective and efficient for movie shot classification.
KeywordUsing Context Saliency Movie Shot Classification
Indexed ByEI
Document Type会议论文
Corresponding AuthorWang, Jinqiao
Recommended Citation
GB/T 7714
Xu, Min,Wang, Jinqiao,Hasan, Muhammad A,et al. Using context saliency for movie shot classification[C],2011:3653-3656.
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