| Movie Scene Recognition Using Panoramic Frame and Representative Feature Patches简 |
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| 引用本文： | 高广宇,马华尔.Movie Scene Recognition Using Panoramic Frame and Representative Feature Patches简[J].计算机科学技术学报,2014,29(1):155-164. |
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| 作者姓名： | 高广宇 马华尔 |
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| 作者单位： | [1]Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing 100876, China [2]School of Software, Beijing Institute of Technology, Beijing 100081, China |
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| 基金项目： | The research is supported by the National Funds for Distinguished Young Scientists of China under Grant No. 60925010, the Specialized Research Fund for the Doctoral Program of Higher Education of China under Grant No. 20120005130002, the Cosponsored Project of Beijing Committee of Education, the Funds for Creative Research Groups of China under Grant No. 61121001, and the Program for Chang, jiang Scholars and Innovative Research Team in University of China under Grant No. IRT1049. |
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| 摘 要： | Recognizing scene information in images or has attracted much attention in computer vision or videos, such as locating the objects and answering ＂Where am research field. Many existing scene recognition methods focus on static images, and cannot achieve satisfactory results on videos which contain more complex scenes features than images. In this paper, we propose a robust movie scene recognition approach based on panoramic frame and representative feature patch. More specifically, the movie is first efficiently segmented into video shots and scenes. Secondly, we introduce a novel key-frame extraction method using panoramic frame and also a local feature extraction process is applied to get the representative feature patches （RFPs） in each video shot. Thirdly, a Latent Dirichlet Allocation （LDA） based recognition model is trained to recognize the scene within each individual video scene clip. The correlations between video clips are considered to enhance the recognition performance. When our proposed approach is implemented to recognize the scene in realistic movies, the experimental results shows that it can achieve satisfactory performance.
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| 关 键 词： | movie scene recognition key-flame extraction representative feature panoramic flame |
Movie Scene Recognition Using Panoramic Frame and Representative Feature Patches |
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| Guang-Yu Gao,Hua-Dong Ma.Movie Scene Recognition Using Panoramic Frame and Representative Feature Patches[J].Journal of Computer Science and Technology,2014,29(1):155-164. |
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| Authors: | Guang-Yu Gao Hua-Dong Ma |
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| Affiliation: | 1. Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, 100876, China
2. School of Software, Beijing Institute of Technology, Beijing, 100081, China
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| Abstract: | Recognizing scene information in images or videos, such as locating the objects and answering “Where am I?”, has attracted much attention in computer vision research field. Many existing scene recognition methods focus on static images, and cannot achieve satisfactory results on videos which contain more complex scenes features than images. In this paper, we propose a robust movie scene recognition approach based on panoramic frame and representative feature patch. More specifically, the movie is first efficiently segmented into video shots and scenes. Secondly, we introduce a novel key-frame extraction method using panoramic frame and also a local feature extraction process is applied to get the representative feature patches (RFPs) in each video shot. Thirdly, a Latent Dirichlet Allocation (LDA) based recognition model is trained to recognize the scene within each individual video scene clip. The correlations between video clips are considered to enhance the recognition performance. When our proposed approach is implemented to recognize the scene in realistic movies, the experimental results shows that it can achieve satisfactory performance. |
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| 本文献已被 CNKI 维普 SpringerLink 等数据库收录！ |
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