CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification
文献类型：期刊论文
| 作者 | Hasan, Muhammad Abul1; Xu, Min1; He, Xiangjian1; Xu, Changsheng2
|
| 刊名 | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
 |
| 出版日期 | 2014-10-01 |
| 卷号 | 24期号:10页码:1682-1695 |
| 关键词 | Motion analysis singular value decomposition (SVD) video shot classification |
| 英文摘要 | In this paper, we propose a nonparametric camera motion descriptor for video shot classification. In the proposed method, a motion vector field (MVF) is constructed for each consecutive video frame by computing the motion vector (MV) of each macroblock. Then, the MVFs are divided into a number of local region of equal size. Next, the inconsistent/noisy MVs of each local region are eliminated by a motion consistency analysis. The remaining MVs of each local region from a number of consecutive frames are further collected for a compact representation. Initially, a matrix is formed using the MVs. Then, the matrix is decomposed using a singular value decomposition technique to represent the dominant motion. Finally, the angle of the most variance retaining principal component is computed and quantized to represent the motion of a local region by using a histogram. In order to represent the global camera motion, the local histograms are combined. The effectiveness of the proposed motion descriptor for video shot classification is tested by using a support vector machine. First, the proposed camera motion descriptors for video shots classification are computed on a video data set consisting of regular camera motion patterns (e. g., pan, zoom, tilt, static). Then, we apply the camera motion descriptors with an extended set of features to the classification of cinematographic shots. The experimental results show that the proposed shot level camera motion descriptor has a strong discriminative capability to classify different camera motion patterns of different videos effectively. We also show that our approach outperforms state-of-the-art methods. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Electrical & Electronic |
| 研究领域[WOS] | Engineering |
| 关键词[WOS] | SCENE CHANGE DETECTION ; REAL-TIME ; VIDEO ; RETRIEVAL ; ANNOTATION ; FRAMEWORK ; MODELS |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000343316900005 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/2838]  |
| 专题 | 自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队 |
| 作者单位 | 1.Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Innovat IT Serv & Applicat, Sch Comp & Commun, Sydney, NSW 2007, Australia 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hasan, Muhammad Abul,Xu, Min,He, Xiangjian,et al. CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2014,24(10):1682-1695. |
| APA | Hasan, Muhammad Abul,Xu, Min,He, Xiangjian,&Xu, Changsheng.(2014).CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,24(10),1682-1695. |
| MLA | Hasan, Muhammad Abul,et al."CAMHID: Camera Motion Histogram Descriptor and Its Application to Cinematographic Shot Classification".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 24.10(2014):1682-1695. |
入库方式： OAI收割
来源：自动化研究所
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。