Abstract:
We introduce the bag-of-multimedia-words model that tightly combines the heterogeneous information coming from the text and the pixel-based information of a multimedia do...Show MoreMetadata
Abstract:
We introduce the bag-of-multimedia-words model that tightly combines the heterogeneous information coming from the text and the pixel-based information of a multimedia document. The proposed multimedia feature generation process is generic for any multi-modality and aims at enriching a multimedia document description with compact and discriminative signatures well appropriate to linear classifiers. It is evaluated on the Pascal VOC 2007 classification challenge, outperforming the state-of-the-art bag-of-visual-words or bag-of-tag-words based classification approaches.
Date of Conference: 11-15 November 2012
Date Added to IEEE Xplore: 14 February 2013
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Conference Location: Tsukuba, Japan