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Communication Dans Un Congrès Année : 2011

Time-aware Co-Training for Indoors Localization in Visual Lifelogs

Résumé

In this paper we address the problem of location recognition from visual lifelogs by leveraging visual features and temporal information in an unified framework. The proposed method features a co-training approach that takes advantage of both labeled and unlabeled data using a confidence measure we propose for this task. It exploits jointly two SVM classifiers on two types of visual features as well as the temporal continuity of the video through temporal accumulation scheme. We demonstrate experimentally on the publicly available IDOL2 dataset that the algorithm yields performance improvement due to its ability to exploit jointly multiple cues, time and unlabeled data.
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Dates et versions

hal-00626087 , version 1 (23-09-2011)

Identifiants

  • HAL Id : hal-00626087 , version 1

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Vladislavs Dovgalecs, Rémi Mégret, Yannick Berthoumieu. Time-aware Co-Training for Indoors Localization in Visual Lifelogs. ACM Multimedia 2011, Nov 2011, Scottsdale, United States. ⟨hal-00626087⟩
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