Download Advances in Multimedia Modeling: 13th International by Luisa M. Regueras, María Jesús Verdú, Rafael Mompó (auth.), PDF

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 conscientiously revised complete papers of the most technical periods and 33 revised complete papers of 4 particular classes from a complete of 392 submissions for presentation in volumes.

The first quantity comprises seventy six contributions. They comprise insurance of subject matters concerning studying semantic innovations, photos, photograph registration, matching and texture, human-computer interplay, monitoring and movement research, complex media coding and version, media annotation, photo and video coding, context-aware media modeling, multimedia databases, and snapshot processing.

The moment quantity collects eighty papers. They comprise assurance of subject matters on the topic of multimedia sign processing and communications, occasion detection, multimedia over P2P, content material, functions, computing device imaginative and prescient, picture processing, multimedia sign processing and communications, photo category and popularity, complex media processing and protection, and ubiquitous

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Additional info for Advances in Multimedia Modeling: 13th International Multimedia Modeling Conference, MMM 2007, Singapore, January 9-12, 2007. Proceedings, Part II

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May. 2005. R. R. com Abstract. In conventional video coding systems, the encoder performs predictive coding (motion estimation) to exploit the temporal similarity, which make its complexity much higher than that of the decoder. The Wyner-Ziv theory or Lossy Distributed Coding theory suggests that when frames are separately encoded but jointly decoded, similar coding efficiency could be achieved. Trellis coded quantization (TCQ) is a powerful quantization method which has already shown its power in distributed source coding area.

As Viterbi algorithm is used in TCQ quantizer, the complexity increases rapidly along with the increase of trellis states. In order to minimize the complexity increase caused by TCQ, we use the simplest 4-state trellis in our scheme, as shown in Fig. 3. In order to not exceed the correcting ability, a coarsely quantized version (base quantization) of the coefficients is also needed as well as the refinement bits to achieve the target quality. At first, we studied multi-stage trellis coded quantization (MSTCQ) [11], and successively refinable trellis coded quantization (SRTCQ) [12].

IEEE Data Compression Conference, Snowbird, UT, Mar. 1999, pp. 158 –167. Optimization of System Performance for DVC Applications 31 3. A. 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.

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