Get Advances in Multimedia Information Processing – PCM 2014: PDF

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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 ebook constitutes the refereed complaints 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 conceal quite a lot of subject matters within the sector of multimedia content material research, multimedia sign processing and communications, and multimedia functions and prone. they've been prepared into topical sections on video coding, annotation, snapshot and photograph, functions, humans, photo research and processing less than additional aid, nearest neighbor, neural networks, and audio. additionally integrated are sections with most sensible papers and posters and demonstrations.

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Read Online 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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Extra 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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Opt. Soc. Am. : A spatial processor model for object colour perception. : The retinex theory of color vision. : Shades of gray and colour constancy. In: Proceeding of IS&T/SID 12th Color Imaging Conference (CIC), pp. : Edge-Based Color Constancy. IEEE Trans. : Color by correlation: A simple,unifying framework forcolor constancy.

Opt. Soc. Am. : A spatial processor model for object colour perception. : The retinex theory of color vision. : Shades of gray and colour constancy. In: Proceeding of IS&T/SID 12th Color Imaging Conference (CIC), pp. : Edge-Based Color Constancy. IEEE Trans. : Color by correlation: A simple,unifying framework forcolor constancy.

This result shows the importance of top-k tag selection and the power of the proposed method for top-k tag selection. For a more intuitive understanding, we present several machine tagging results in Table 2. 6 Conclusions This paper introduces adaptive tag selection, a new function to enable an image annotation system to label images with a variable number of tags, rather than a Adaptive Tag Selection for Image Annotation 19 fixed number of tags as commonly done in previous works. On the base of our experiments in the ImageCLEF 2014 image annotation task, we offer the following conclusions.

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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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