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Omnidirectional Object Duplicate Detection

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Multiview image coding using graph-based approach

Pascal Frossard, Thomas Maugey

In this paper, we design a new approach for coding the geometry information in a multiview image scenario. As an alternative to depth-based schemes, we propose a representation that captures the dependencies between pixels in different frames in the form o ...

2013

Object Duplicate Detection

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With the technological evolution of digital acquisition and storage technologies, millions of images and video sequences are captured every day and shared in online services. One way of exploring this huge volume of images and videos is through searching a ...

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Robust Duplicate Detection of 2D and 3D Objects

Touradj Ebrahimi, Jong Seok Lee, Lutz Goldmann, Ivan Ivanov, Péter Vajda

In this paper, we analyze our graph-based approach for 2D and 3D object duplicate detection in still images. A graph model is used to represent the 3D spatial information of the object based on the features extracted from training images so that an explici ...

2010

Automatic skill acquisition in Reinforcement Learning using connection graph stability centrality

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Reinforcement Learning (RL) is an approach for training agent's behavior through trial-and-error interactions with a dynamic environment. An important problem of RL is that in large domains an enormous number of decisions are to be made. Hence, instead of ...

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Variational methods for texture segmentation

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In the last decades, image production has grown significantly. From digital photographs to the medical scans, including satellite images and video films, more and more data need to be processed. Consequently the number of applications based on digital imag ...

EPFL2009

Graph-Based Approach for 3D Object Duplicate Detection

Touradj Ebrahimi, Frédéric Dufaux, Péter Vajda

In this paper, we consider the challenging problem of object duplicate detection and localization. Several applications require efficient object duplicate detection methods, such as automatic video and image tagging, video surveillance, and high level imag ...

2009

ClusterRank: A Graph Based Method for Meeting Summarization

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This paper presents an unsupervised, graph based approach for extractive summarization of meetings. Graph based methods such as TextRank have been used for sentence extraction from news articles. These methods model text as a graph with sentences as nodes ...

Idiap2009

ClusterRank: A Graph Based Method for Meeting Summarization

Nikhil Garg

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Analysis of the Limits of Graph-Based Object Duplicate Detection

Touradj Ebrahimi, Lutz Goldmann, Péter Vajda

In this paper, we consider the evaluation of graph-based object duplicate detection. Several applications require accurate and efficient object duplicate detection methods, such as automatic video and image tag propagation, video surveillance, and high lev ...

2009

On unifying sparsity and geometry for image-based 3D scene representation

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Demand has emerged for next generation visual technologies that go beyond conventional 2D imaging. Such technologies should capture and communicate all perceptually relevant three-dimensional information about an environment to a distant observer, providin ...

EPFL2009