By Luisa M. Regueras, María Jesús Verdú, Rafael Mompó (auth.), Tat-Jen Cham, Jianfei Cai, Chitra Dorai, Deepu Rajan, Tat-Seng Chua, Liang-Tien Chia (eds.)
The quantity set LNCS 4351 and LNCS 4352 constitutes the refereed court cases of the thirteenth foreign Multimedia Modeling convention, MMM 2007, held in Singapore in January 2007.
Based on rigorous reviewing, this system committee chosen 123 rigorously revised complete papers of the most technical periods and 33 revised complete papers of 4 exact periods from a complete of 392 submissions for presentation in volumes.
The first quantity comprises seventy six contributions. They contain assurance of subject matters concerning studying semantic innovations, pix, snapshot registration, matching and texture, human-computer interplay, monitoring and movement research, complicated media coding and edition, media annotation, photograph and video coding, context-aware media modeling, multimedia databases, and snapshot processing.
The moment quantity collects eighty papers. They contain insurance of subject matters relating to multimedia sign processing and communications, occasion detection, multimedia over P2P, content material, functions, machine imaginative and prescient, picture processing, multimedia sign processing and communications, picture class and popularity, complex media processing and protection, and ubiquitous
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Extra info for Advances in Multimedia Modeling: 13th International Multimedia Modeling Conference, MMM 2007, Singapore, January 9-12, 2007. Proceedings, Part II
Sun et al. sequence. If the bit-rate is zero, it means the to-be-decoded frame is taken place by the previous frame. 2. Different R-D curve have different variance. Larger variance, the curve farther from the zero. And this is the feature of visual information in images. Fig. 4. Relationship of visual information with motion For a video sequence, as shown in Fig. 4, larger motion, more visual information can be achieved. On the other hand, for an image, larger variance, more visual information can be achieved.
In: Proceedings of the 2002 International Symposium on Low Power Electronic Design (ISLPED). sg Abstract. We investigate optimization of system performance in the below scenario: capturing and transmitting videos by single or multiple video sensors using distributed video coding (DVC) over ad hoc networks. There is an intrinsic contradiction in this scenario that could affect the system performance: the contradiction between the decoding quality and network lifetime. In this paper, we propose a joint optimization between the decoding quality and network lifetime using a quantitative metric of system performance, which is defined as the amount of collected visual information during the operational time of the video sensor.
Aaron, R. Zhang, and B. Girod, “Wyner-Ziv coding of motion video,” in Proc. Asilomar Conference on Signals and Systems, Pacific Grove, CA, Nov. 2002. 4. A. Aaron, S. Rane, R. Zhang, and B. Girod, “Wyner-Ziv coding for video: Applications to compression and error resilience,” in Proc. IEEE Data Compression Conference, Snowbird, UT, Mar. 2003, pp. 93–102. 5. Zhihai He; Dapeng Wu, Accumulative visual information in wireless video sensor network: definition and analysis, IEEE International Conference on Communications (ICC 2005), Seoul, Korea, May 16 - 20, 2005 Page(s):1205 - 1208 Vol.