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More cooperation or coordination is necessary for future UDN (Ultra-Dense Network) scenario of 5G network, of which ICIC (Inter-Cell Interference Coordination) is a promising and typical scheme. Cooperating cellular network may be thought as a special kind of distributed computing system, whose basic theory and toolsets could be adopted. CAP theory for distributed computing state that any networked...
Automatic categorization of videos in a Web-scale unconstrained collection such as YouTube is a challenging task. A key issue is how to build an effective training set in the presence of missing, sparse or noisy labels. We propose to achieve this by first manually creating a small labeled set and then extending it using additional sources such as related videos, searched videos, and text-based webpages...
Modeling and recognizing landmarks at world-scale is a useful yet challenging task. There exists no readily available list of worldwide landmarks. Obtaining reliable visual models for each landmark can also pose problems, and efficiency is another challenge for such a large scale system. This paper leverages the vast amount of multimedia data on the Web, the availability of an Internet image search...
The number of video clips available online is growing at a tremendous pace. Conventionally, user-supplied metadata text, such as the title of the video and a set of keywords, has been the only source of indexing information for user-uploaded videos. Automated extraction of video content for unconstrained and large scale video databases is a challenging and yet unsolved problem. In this paper, we present...
The phenomenal growth of video on the Web and the increasing sparseness of meta information associated with it forces us to look for signals from the video content for search/information retrieval and browsing based corpus exploration. A large chunk of users' searching/browsing patterns are centered around people present in the video. Doing it at scale in videos remains hard due to a) the absence...
Typically Web pages always contain a large amount of banner ads, navigation bars, and copyright notices etc. Such irrelevant information is not part of the main contents of the pages, they will seriously harm Web mining and searching. In this paper, we develop and evaluate a method that utilizes both the visual features and the semantic information to extract informative blocks. We first partition...
Peer-to-peer or P2P technology is a collaborative technology premised on individual users voluntarily making computer resources available, such as files and computing services. Nodes in the network play the role both of a client and a server. In this paper, we apply peer-to-peer networks for the argumentation of building a collaborative virtual learning community. We enhance current peer-to-peer and...
Digital animation is a widely used digital media on Internet to convey information. However, many animations nowadays are usually advertisements and contain only junk information. In order to detect and filter such information, a feature extraction, analysis and classification method for animation content understanding is proposed. A feature set composed of the traditional image/video features and...
Question-answering has recently received more and more attention from researchers. It is widely regarded as the advanced stage of information retrieval. This paper provides a novel domain-independent question-answering system which is based on information retrieval in a large-scale collection of texts, and an improved system similarity model is developed and applied in it which improves the performance...
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