Advances in Multimedia Information Processing – PCM 2012: by Chao Wang, Yunhong Wang, Zhaoxiang Zhang (auth.), Weisi Lin, PDF

By Chao Wang, Yunhong Wang, Zhaoxiang Zhang (auth.), Weisi Lin, Dong Xu, Anthony Ho, Jianxin Wu, Ying He, Jianfei Cai, Mohan Kankanhalli, Ming-Ting Sun (eds.)

ISBN-10: 3642347770

ISBN-13: 9783642347771

ISBN-10: 3642347789

ISBN-13: 9783642347788

This e-book constitutes the court cases of the thirteenth Pacific Rim convention on Multimedia, held in Singapore in the course of December 4-6, 2012. The fifty nine revised complete papers awarded have been conscientiously reviewed and chosen from 106 submissions for the most convention and are observed by way of 23 displays of four specified periods. The papers are prepared in topical sections on multimedia content material research, photo and video processing, video coding and multimedia info processing, image/video processing and research, video coding and multimedia process, complicated photograph and video coding, move media studying with structural priors, in addition to effective multimedia research and utilization.

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Extra info for Advances in Multimedia Information Processing – PCM 2012: 13th Pacific-Rim Conference on Multimedia, Singapore, December 4-6, 2012. Proceedings

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Thus it can capture the local motion information. , in total 9 bins). Just like HOG, HOF descriptor is also normalized with its L2 norm. 3. Motion Boundary Histogram (MBH): The MBH descriptor is also proposed by Dalal et al. [15] for human detection, where derivatives are computed separately for the horizontal and vertical components of the optical flow Iω = (Ix , Iy ). Spatial derivatives are computed for each component of the optical flow field Ix and Iy independently. After that, orientation information is quantized into histogram, similarly to the HOG descriptor (8-bin histogram for each component).

The first three minutes were used to familiarize participants with the reference sound quality (320kbps). Thereafter, an automatic degradation process was introduced every 3 minutes with the quality levels further decreasing every 10 seconds. The subjects were advised that the first degradation procedure would start at 1 to 5 minutes into the clip. Right after the main task participants were asked several questions regarding the easiness of the task, positive/negative aspects, difficulties (if any), and their overall experience regarding the methodology used for this test.

Meanwhile, the evaluations show highly competitive performance of CGE as well (see Sect. 4). Given the K-dimensional embedded Hamming space H = (h1 , . . , hn ) ∈ IRK×n , the optimization formulation can be defined as below. max Q = H subject to: Balance constraint: Independence constraint: i,j wij K k=1 hk (xi ) − hk (xj ) hk (xi ) ∈ {−1, +1}, H·e = 0, 1 T n H·H = I. 2 + σ2 (2) Hashing with Cauchy Graph 25 Equation (2) is quite different from Spectral Hashing [7] algorithm that is one of the most popular unsupervised hashing algorithms, as (2) places strong emphasis on local topology structure information.

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Advances in Multimedia Information Processing – PCM 2012: 13th Pacific-Rim Conference on Multimedia, Singapore, December 4-6, 2012. Proceedings by Chao Wang, Yunhong Wang, Zhaoxiang Zhang (auth.), Weisi Lin, Dong Xu, Anthony Ho, Jianxin Wu, Ying He, Jianfei Cai, Mohan Kankanhalli, Ming-Ting Sun (eds.)


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