School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;Shangdong Provincial Laboratory of Intelligent Buildings Technology, Jinan 250101, China 在期刊界中查找 在百度中查找 在本站中查找
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;Shangdong Provincial Laboratory of Intelligent Buildings Technology, Jinan 250101, China 在期刊界中查找 在百度中查找 在本站中查找
School of Information and Electrical Engineering, Shandong Jianzhu University, Jinan 250101, China;Shangdong Provincial Laboratory of Intelligent Buildings Technology, Jinan 250101, China 在期刊界中查找 在百度中查找 在本站中查找
The video summarization technology is one of the hot spots in the field of multimedia research. This paper presents the generation method of video summarization and it can be divided into two classes: video summarization based on video key frame and video synopsis based on video object. Video summarization is briefly introduced and the method of the video synopsis is principally described. At last, the development trend and the application perspective of video summarization and synopsis are presented.
3 Tonomura Y, Akutsu A, Otsu GK, et al. VideoMAP and videospaceicon: tools for automatizing video content. Proc. ofACM Interchi’93 Conference 1993:131-141.
4 Ueda H, Miyatake T, Izawa YS. M PACT:an interactivenatural-motion-picture dedicated multimedia authoringsystem. Proc. of ACM Chi’91 Conference. 1991: 343-350.
5 Ruiy, Huang TS, Mehro TS. Exploring video structure beyondthe shots. Proc. of IEEE Intemational Conference onMultimedia Computing and Systems Texas:1998:237-240.
6 Sum ZH, Fu P. Combination of color and object outline basedmethod in video segmentation. Proc. of SPIE StroageRetrMethods ApplMultimed 2004:61-69.
7 Pentland A, Picard R, Davenport G, et al. Video and imagesemantics: ladvanced tools for telecommunications. IEEEMultimedia, 1994,1(2):73-75.
8 Girgensohn A, Boreczky J. Time-constrained key frameselection technique. Proc. of ICMCS. 1999:756-761.
9 Narasmha R, Savakis A, Rao RM, et al. A neural networkapproach to key frame extraction. Proc. of SPIE IS&TElectronic Imaging Strorage and Retrieval Methods andApplications for Multimedia 2004:439-447.
10 Zhao L, QI W. Key-frame extraction and shot retrieval usingnearest feature line. Proc. of ACM Multimedia Workshops on Multimedia 2000: 217-220.
11 Damnjanovic U, Fernandez V, Izquierdo E, Martinez JM.Event Detection and Clustering for Surveillance VideoSummarization Ninth International Workshop on ImageAnalysis for Multimedia Interactive Services.
14 Yu WY, Yu YL, Xie SL. Representtation on image semanticsstructure information. Proc. of the 8th World Multi-Conference on Systemics, Cybernetics and Informatics.Orland: 2004:253-256.
15 Alex RA, Pritch Y, Peleg S. Making a Long Video Short:Dynamic Video Synopsis. Proc. of the IEEE Conf.Computer Vision and Pattern Recognition, 2006: 435-441.
16 Pritch Y, et al. Clustered Synopsis of Surveillance Video.IEEE Advanced Video and Signal Based Surveillance, 2009,195-200.
17 Pritch Y, Acha AR, Gutman A, Peleg S. Webcam Synopsis:Peeking Around the World. Proc. IEEE, Conf. ComputerVision, Oct. 2007.
18 Vural U, Akgul YS. Eye-gaze based real-time surveillancevideo synopsis. Pattern Recognition Letters, 2009,30:1151-1159.
19 Li T, Mei T, et al. Video M: Multi-Video Synopsis. IEEEInternational Conference on Data Mining Workshops. 2008,854-861.
20 Li T, Mei T, Kweon I, et al. Multi-video synopsis for videorepresentation. Signal Processing, 2009,89:2354-2366.
21 Li Z, Ishwar P, Konrad J. Video Conden sation by RibbonCarving. IEEE Trans. on Image Processing, 2009,18(11):2572-2583.