By Yan-qing Chen, Jian-min Qi, Ling-juan Shi (auth.), David Jin, Sally Lin (eds.)

ECWAC2012 is an built-in convention dedicated to digital trade, net software and communique. within the this lawsuits you will find the rigorously reviewed medical final result of the second one foreign convention on digital trade, internet software and verbal exchange (ECWAC 2012) held at March 17-18,2012 in Wuhan, China, bringing jointly researchers from all over the international within the field.

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The graph vertices stand for the words and the edges denote the semantic relation between two neighboring words. In the last step, we apply the dense sub graph finding method to mine the video semantic meaning. Experiments show that our video semantic mining method is efficient. Keywords: Video Semantic Mining, Auto Speech Recognition, Information Fusion, Object Recognition. 1 Introduction There has been an explosive growth of available videos on the internet. Good examples are the video sharing website “youtube”, hosting billions of videos with thousands of uploads each minute.

1 Introduction There has been an explosive growth of available videos on the internet. Good examples are the video sharing website “youtube”, hosting billions of videos with thousands of uploads each minute. The advent of such collections has sparked research on video semantic mining within these collections to implement a system processing videos without human intervention; see Snoek and Worring for a recent overview [1]. One active line of research is on using only the visual contents for concept-based management tasks.

It is a data analysis tool for fuzzy and uncertain knowledge. After 1990, scholars from many countries take more concern on rough set theory. Now, it becomes one of the most active research area of information science. By attribute reducing, the fuzzy comprehensive evaluation method based on rough set can effectively get weight coefficient through attribute significance. Thus, it can overcome shortcoming of weight determine subjectivity. In this paper, we take index of human capital force for example and use RST to determine fuzzy comprehensive weight coefficient.

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