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As it is widely known documentation is an important issue within the tasks of conservation, preservation and restoration of Cultural Heritage objects. In this context high-tech measuring methods which...
Search engines play a very important role in daily life. As multimedia product becomes more and more popular, people have developed search engines for images and videos. In the first part of this thes...
In this paper, we propose a novel image super-resolution algorithm, referred to as interpolation based on transductive regression with local and globalconsistency (TRLGC). Our algorithmfirst con...
Abstract—The linear regression model is a very attractive toolto design effective image interpolation schemes. Some regression-based imageinterpolation algorithms have been proposedin the literature, ...
Image deblurring aims to counteract the effect of point spread function (PSF) inimperfect image formation system. Conventional solutions include frequency-domainapproaches (e.g. Wiener filtering...
General object recognition and image understanding is recognized as a dramatic goal for computervision and multimedia retrieval. In spite of the great e®orts devoted in the last two decades, it s...
Bag-of-visual Words (BoWs) representation hasbeen applied for various problems in the fields of multimediaand computer vision. The basic idea is to represent images asvisual documents composed o...
Image authentication is usually approached by checking the preservation of some invariant features, which are expected to be both robust and discriminative so that contentpreserving operations are acc...
Social Multimedia computing is a new approach which combines the contextual information available in the social networks withavailable multimedia content to achieve greater accuracy in traditionalmult...
Although many approaches have been proposed for video shot boundary detection, dissolve detection remains an open issue. For a dissolve, we could find that the video frames reveal a “clarity–blur–cl...
With the large scale image classification attracting more attention in recent years, a lot of new challenges spring up. To tackle the problems of distribution imbalance and divergent visual correlatio...
The paradox of visual polysemia and concept polymorphism has been a great challenge in the large scale semanticimage search. To address this problem, our paper proposesa new method to generate image V...
In this paper, we propose a novel method toevaluate table segmentation results based on a table imageground truther. In the ground-truthing process, we first extractconnected components from agi...
Web-scale image understanding is a challenging but signifi-cant task to comprehend image contents on the internet. Thee-facto standard methods based on machine learning or computer vision still ...
In traditional partial-duplicate image retrieval, imagesare commonly represented using the Bag-of-Visual-Words(BOV) model built from image local features, such as SIFT.Actually, there is only a small ...

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