Wei Tsang Ooi, Cees G.M. Snoek, Hung Khoon Tan, Chin Kuan's Advances in Multimedia Information Processing – PCM 2014: PDF

By Wei Tsang Ooi, Cees G.M. Snoek, Hung Khoon Tan, Chin Kuan Ho, Benoit Huet, Chong-Wah Ngo

ISBN-10: 3319131672

ISBN-13: 9783319131672

ISBN-10: 3319131680

ISBN-13: 9783319131689

This e-book constitutes the refereed lawsuits of the fifteenth Pacific Rim convention on Multimedia, PCM 2014, held in Kuching, Malaysia, in December 2014. The 35 revised complete papers and six brief papers awarded have been conscientiously reviewed and chosen from eighty four submissions. The papers hide a variety of issues within the region of multimedia content material research, multimedia sign processing and communications, and multimedia purposes and prone. they've been geared up into topical sections on video coding, annotation, photo and picture, functions, humans, picture research and processing less than additional aid, nearest neighbor, neural networks, and audio. additionally incorporated are sections with top papers and posters and demonstrations.

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By Wei Tsang Ooi, Cees G.M. Snoek, Hung Khoon Tan, Chin Kuan Ho, Benoit Huet, Chong-Wah Ngo

ISBN-10: 3319131672

ISBN-13: 9783319131672

ISBN-10: 3319131680

ISBN-13: 9783319131689

This e-book constitutes the refereed lawsuits of the fifteenth Pacific Rim convention on Multimedia, PCM 2014, held in Kuching, Malaysia, in December 2014. The 35 revised complete papers and six brief papers awarded have been conscientiously reviewed and chosen from eighty four submissions. The papers hide a variety of issues within the region of multimedia content material research, multimedia sign processing and communications, and multimedia purposes and prone. they've been geared up into topical sections on video coding, annotation, photo and picture, functions, humans, picture research and processing less than additional aid, nearest neighbor, neural networks, and audio. additionally incorporated are sections with top papers and posters and demonstrations.

Show description

Read or Download Advances in Multimedia Information Processing – PCM 2014: 15th Pacific-Rim Conference on Multimedia, Kuching, Malaysia, December 1-4, 2014, Proceedings PDF

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Additional info for Advances in Multimedia Information Processing – PCM 2014: 15th Pacific-Rim Conference on Multimedia, Kuching, Malaysia, December 1-4, 2014, Proceedings

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Notice that the ground truth of the test set is unavailable to the participants, so the result reported in this paper are from the official evaluation1 and extra evaluation provided by the organizers on our request. A development set of 1,000 labeled images are provided for 107 tags, whilst no ground truth is given for the remaining 100 tags. This setting allows us to evaluate the viability of the proposed method. Baselines. In addition to the common top-5 strategy, we compare with [9], which computes for each tag the average (μ) and the standard deviation (σ) of the scores, and selects the tag having a score above μ + σ.

Of ACM International Conference on Multimedia Retrieval (2012) Improving Color Constancy with Internet Photo Collections Shuai Fang1, Chuanpei Zhou1, Yang Cao2, and Zhengjun Zha3 1 Hefei University of Technology University of Science and Technology of China 3 Hefei Institute of Intelligent Machines, Chinese Academy of Sciences 2 Abstract. Color constancy is the ability to measure colors of objects independent of the color of the light source. A well-known color constancy method makes use of the specular edge to estimate the illuminant.

For such a reason, Tan et al. [16]propose a separating algorithm based solely on colors and chromaticity information, without any segmentation information. A specular free image can be obtained by intensity logarithmic differentiation. 36 S. Fang et al. 1 Specular-to-Diffuse Mechanism Specular-to-diffuse mechanism bases its techniques on chromaticity and intensity value of specular and diffuse pixels. The maximum chromaticity and maximum diffuse chromaticity are defined as follows: c max ( x ) = max( I r ( x ), I g ( x ), I b (x))  I ( x ) ,Λ max i = max( Λ r , Λ g , Λ b ) (5) The total diffuse intensity of specular pixels is computed using: I diff i = I max (3cmax − 1) cmax (3Λmax − 1) (6) where I max = max( I r , I g , Ib ) .

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Advances in Multimedia Information Processing – PCM 2014: 15th Pacific-Rim Conference on Multimedia, Kuching, Malaysia, December 1-4, 2014, Proceedings by Wei Tsang Ooi, Cees G.M. Snoek, Hung Khoon Tan, Chin Kuan Ho, Benoit Huet, Chong-Wah Ngo


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