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 lawsuits of the thirteenth overseas 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 classes and 33 revised complete papers of 4 designated periods from a complete of 392 submissions for presentation in volumes.

The first quantity comprises seventy six contributions. They comprise insurance of issues on the topic of studying semantic recommendations, pix, photograph registration, matching and texture, human-computer interplay, monitoring and movement research, complicated media coding and variation, media annotation, snapshot and video coding, context-aware media modeling, multimedia databases, and photo processing.

The moment quantity collects eighty papers. They contain assurance of themes relating to multimedia sign processing and communications, occasion detection, multimedia over P2P, content material, purposes, computing device imaginative and prescient, snapshot processing, multimedia sign processing and communications, photograph type and popularity, complex media processing and protection, and ubiquitous

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

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1. 179). Fig. 1. 2 Network Scenario Model We study the case where a number of nodes capturing and transmitting videos to a receiver in an ad hoc networks. 2, node1-6 is deployed in different place with different initial energy and transmits videos to the receiver node0 using single hop or multiple hops. 26 L. Sun et al. Fig. 2. 3 Power Consumption Model We use the radio model presented in [10], which is an d 2 energy loss estimation for channel transmission. In order to transmit a k -bit message from node i to node j directly, the energy consumed of sending and receiving can be figured out by: ES ( k , d ) = k (α1 + α 2 d 2 ) E R (k , d ) = kα r (3) where ES and ER are the energy consumptions of sending and receiving; d is the transmission range, typically 250 meters; α1 is for the energy dissipated to run the radio transmitter, α r is for the energy dissipated to run the receiver circuitry, and α 2 is for the energy dissipated at the transmit amplifier, α1 = α r = 50nJ / bit , α 2 = 100 pJ / bit / m 2 .

Not only the syndrome coded low frequency coefficients are reconstructed using estimator, the intra coded high frequency coefficients are also reconstructed using estimator. The high frequency coefficients are intra coded because their correlation with the corresponding predictor is weak. But weak doesn’t mean none, so using an estimator can also increase the reconstruction precision. Finally, all the coefficients are inverse zigzag scanned to form a 2-D block, and IDCT is applied to get the pixel values.

1999. 11. H. A. Aksu and M. Salehi, “Multi-stage trellis coded quantization (MSTCQ),” Proc. Conf. Information Sciences and Systems Baltimore, MD, Mar. 1995. 12. H. Jafarkhani and V. Tarokh, “Design of Successively Refinable Trellis-Coded Quantizers” IEEE Trans. Inform. Theory, vol. 45, no. 5, pp. 1490–1497, Jul. 1999. 264/AVC Seung-Man Pyen, Kyeong-Yuk Min, and Jong-Wha Chong Dept. com Abstract. In this paper, an efficient VLSI architecture of full-search variable block size motion estimation (VBSME) suitable for high quality video is proposed.

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