This article is presented by:
Marc Lalonde
David Byrns
Langis Gagnon
Normand Teasdale
Denis Laurendeau
Real-time eye blink detection with GPU-based SIFT tracking
ABSTRACT
This paper reports on the implementation of a GPUbased, real-time eye blink detector on very low contrast images acquired under near-infrared illumination. This detector is part of a multi-sensor data acquisition and analysis system for driver performance assessment and training. Ey ....etc

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Hi,
I m doing project in CBIR with relevance feedback. I am in need of the matlab code for it. plz help me by providing the code.. ....etc

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How am i supposed to select each image in my image folder and create their histogram and save them automatically in another folder? (p.s: the name of images should be automatically incremented when i retrieve them) Kindly mail me on my id : [email protected]
Thank you 4 your guidance and support.
Kindly do the needful as soon as possible..its very urgent!! ....etc

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Presented By:
Jaya Krishna.P , Prem Kumar.M
Nimra College Of Engineering &Technology



Abstract



Interest in the potential of digital images has increased enormously over the

last few years, fuelled at least in part by the rapid growth of imaging on the World-Wide

Web. Users in many professional fields are exploiting the opportunities offered by the

ability to access and manipulate remotely-stored images in all kinds of new and exciting

ways . However, they are also discoveri ....etc

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send me uml diagrams of efficient relevance feedback for content based image retrieval by mining user navigation patterns ....etc

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To get full information or details of content based image retrieval system please have a look on the pages

http://seminarsprojects.net/Thread-content-based-image-retrieval-cbir-system?pid=56830#pid56830

http://seminarsprojects.net/Thread-content-based-image-retrieval-cbir-system

if you again feel trouble on content based image retrieval system please reply in that page and ask specific fields in content based image retrieval system ....etc

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To get full information or details of content based image retrieval matlab code please have a look on the pages

http://seminarsprojects.net/Thread-automatic-segmentation-of-digital-images-applied-in-cardiac-medical-images

http://seminarsprojects.net/Thread-image-retrieval-using-segmentation

http://seminarsprojects.net/Thread-image-segmentation-full-report

http://seminarsprojects.net/Thread-image-segmentation-using-information-bottleneck-method

http://seminarsprojects.net/Thread-content-based-image-retrieval-cbir-system?pid=56830#pid56830

....etc

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to get information about the topic image retrieval full report ,ppt and related topic refer the page link bellow

http://seminarsprojects.net/Thread-automatic-segmentation-of-digital-images-applied-in-cardiac-medical-images

http://seminarsprojects.net/Thread-image-retrieval-using-segmentation

http://seminarsprojects.net/Thread-image-segmentation-full-report

http://seminarsprojects.net/Thread-fast-and-cheap-color-image-segmentation-for-interactive-robots

http://seminarsprojects.net/Thread-image-segmentation-using-information-bottleneck-meth ....etc

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Content-based image retrieval (CBIR), also known as query by image content (QBIC) and content-based visual information retrieval (CBVIR) is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a recent scientific overview of the CBIR field). Content-based image retrieval is opposed to traditional concept-based approaches .

Content-based means that the search analyzes the contents of the image rather than the metadata such a ....etc

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Abstract

To aid visitors of art centers in automatically identifying an object of interest, a computer vision algorithm
known as SIFT has been implemented using MATLAB. Salient aspects of the algorithm have been discussed in light of image recognition applications. Test methods to validate the algorithm have been detailed out. Performance improvement for SIFT also has been proposed. ....etc

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