Exploiting Visual-Audio-Textual Characteristics for Automatic TV Commercial Block Detection and Segmentation
Liu, Nan1,2; Zhao, Yao1,2; Zhu, Zhenfeng1,2; Lu, Hanqing3
发表期刊IEEE TRANSACTIONS ON MULTIMEDIA
2011-10-01
卷号13期号:5页码:961-973
文章类型Article
摘要Automatic TV commercial block detection (CBD) and commercial block segmentation (CBS) are two key components of a smart commercial digesting system. In this paper, we focus our research on CBD and CBS by the means of collaborative exploitation of visual-audio-textual characteristics embedded in commercials. Rather than utilizing exclusively visual-audio characteristics like most previous works, an abundance of textual characteristics associated with commercials are fully exploited. Additionally, Tri-AdaBoost, an interactive ensemble learning manner, is proposed to form a consolidated semantic fusion across visual, audio, and textual characteristics. In order to segment a detected commercial block into multiple individual commercials, additional informative descriptors including textual characteristics are introduced to boost the robustness in the detection of frame marked with product information (FMPI). Together with the characteristics of audio spectral variation pointer and silent position, FMPI can provide a kind of complementary representation architecture to model the similarity of intra-commercial and the dissimilarity of inter-commercial. Experiments are conducted on a large video dataset from both China central television (CCTV) channels and TRECVID'05, and promising experimental results show the effectiveness of the proposed scheme.
关键词Commercial Detection Commercial Segmentation Multi-modal Fusion Text Detection Video Analysis
WOS标题词Science & Technology ; Technology
关键词[WOS]VIDEO ; STREAMS
收录类别SCI
语种英语
WOS研究方向Computer Science ; Telecommunications
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Telecommunications
WOS记录号WOS:000295007300011
引用统计
被引频次:16[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/3329
专题模式识别国家重点实验室_图像与视频分析
作者单位1.Beijing Jiaotong Univ, Inst Informat Sci, Beijing 100044, Peoples R China
2.Beijing Key Lab Adv Informat Sci & Network Techno, Beijing 100044, Peoples R China
3.Chinese Acad Sci, Inst Automat, Beijing 100080, Peoples R China
推荐引用方式
GB/T 7714
Liu, Nan,Zhao, Yao,Zhu, Zhenfeng,et al. Exploiting Visual-Audio-Textual Characteristics for Automatic TV Commercial Block Detection and Segmentation[J]. IEEE TRANSACTIONS ON MULTIMEDIA,2011,13(5):961-973.
APA Liu, Nan,Zhao, Yao,Zhu, Zhenfeng,&Lu, Hanqing.(2011).Exploiting Visual-Audio-Textual Characteristics for Automatic TV Commercial Block Detection and Segmentation.IEEE TRANSACTIONS ON MULTIMEDIA,13(5),961-973.
MLA Liu, Nan,et al."Exploiting Visual-Audio-Textual Characteristics for Automatic TV Commercial Block Detection and Segmentation".IEEE TRANSACTIONS ON MULTIMEDIA 13.5(2011):961-973.
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