Advances in Multimedia Modeling: 17th International by Guangyu Zhu, Shuicheng Yan, Tony X. Han, Changsheng Xu

By Guangyu Zhu, Shuicheng Yan, Tony X. Han, Changsheng Xu (auth.), Kuo-Tien Lee, Wen-Hsiang Tsai, Hong-Yuan Mark Liao, Tsuhan Chen, Jun-Wei Hsieh, Chien-Cheng Tseng (eds.)

This two-volume court cases constitutes the refereed papers of the seventeenth foreign Multimedia Modeling convention, MMM 2011, held in Taipei, Taiwan, in January 2011. The fifty one revised usual papers, 25 distinctive consultation papers, 21 poster consultation papers, and three demo consultation papers, have been conscientiously reviewed and chosen from 450 submissions. The papers are equipped in topical sections on audio, snapshot video processing, coding and compression; media content material looking and retrieval; multi-camera, multi-view, and 3D structures; multimedia indexing and mining; multimedia content material research; multimedia sign processing and communications; and multimedia purposes. The distinctive consultation papers care for content material research for human-centered multimedia functions; huge scale wealthy media information administration; multimedia realizing for customer electronics; photograph item acceptance and compression; and interactive picture and video search.

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Extra resources for Advances in Multimedia Modeling: 17th International Multimedia Modeling Conference, MMM 2011, Taipei, Taiwan, January 5-7, 2011, Proceedings, Part II

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In: ICCV (2007) 24 B. Li et al. 9. : Improved seam carving for video retargeting. ACM Transactions on Graphics (2008) 10. : Multi-operator media retargeting. ACM Transactions on Graphics (2009) 11. : Discontinuous seam-carving for video retargeting. In: CVPR (2010) 12. : Feature-aware texturing. In: Eurographics Symposium on Rendering (2006) 13. : Seam carving for content-aware image resizing. ACM Transactions on Graphics (2007) 14. : Neural networks and the bias/variance dilemma. Neural. Comput.

Lee et al. ): MMM 2011, Part II, LNCS 6524, pp. 25–34, 2011. © Springer-Verlag Berlin Heidelberg 2011 26 Y. Peng et al. In order to interpret it in perspective, a brief review of super-resolution is needed. As a well-studied field, comprehensive reviews were carried out by Borman and Stevenson [2] in 1998 and Park [3] in 2003. Although there are lots of approaches to super-resolution, the formulation of this problem usually falls into either frequency or spatial domain. Historically, the earliest super-resolution methods are raised in frequency domain [4, 5, 6] as the underlying mechanism of resolution improvement, that is restoration of frequency components beyond the Nyquist limit of the individual observation image samples [3].

So we propose a generic approach to effective and efficient image retargeting, which is applicable to mobile devices. -T. Lee et al. ): MMM 2011, Part II, LNCS 6524, pp. 12–24, 2011. c Springer-Verlag Berlin Heidelberg 2011 Grid-Based Retargeting with Transformation Consistency Smoothing 13 Fig. 1. Illustrating image/video retargeting from a supervised learning viewpoint Many content-aware retargeting methods have been proposed such as cropping[4,5,1], seam craving[13,9,15,11], multi-operator[10], mesh based retargeting[12,18,3,7,17].

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