Efficient video copy detection using multi-modality and dynamic path search
文献类型：期刊论文
| 作者 | Teng Li; Fudong Nian; Xinyu Wu; Qingwei Gao; Yixiang Lu |
| 刊名 | Multimedia Systems
 |
| 出版日期 | 2014 |
| 英文摘要 | Efficient and robust video copy detection is an important topic for many applications, such as commercial monitoring and social media retrieval. In this paper, with the aim of handling large-scale video data, we propose an efficient and robust video copydetection method jointly utilizing the characteristics of temporal continuity and multi-modality of video. The video is converted to a continuous sequence of states, and both the visual and auditory features are extracted for temporal frames. To facilitate tolerance of the length variations caused during video re-targeting, an efficient dynamic path search method is proposed to detect the target video clips, and highly compact audio fingerprint and visual ordinal features are jointly utilized in a flexible frame. The proposed scheme not only achieves high computational efficiency but also guarantees effectiveness in real applications. Comparison experiments were conducted using video commercials and real television programs from four channels as well as a benchmark video copy detection dataset, and the results demonstrate both the high efficiency and high robustness of the proposed method. |
| 收录类别 | EI |
| 原文出处 | http://link.springer.com/article/10.1007/s00530-014-0387-8 |
| 语种 | 英语 |
| WOS记录号 | WOS:000368828500004 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/5447]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 作者单位 | Multimedia Systems |
| 推荐引用方式 GB/T 7714 | Teng Li,Fudong Nian,Xinyu Wu,et al. Efficient video copy detection using multi-modality and dynamic path search[J]. Multimedia Systems,2014. |
| APA | Teng Li,Fudong Nian,Xinyu Wu,Qingwei Gao,&Yixiang Lu.(2014).Efficient video copy detection using multi-modality and dynamic path search.Multimedia Systems. |
| MLA | Teng Li,et al."Efficient video copy detection using multi-modality and dynamic path search".Multimedia Systems (2014). |
入库方式： OAI收割
来源：深圳先进技术研究院
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