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Spatial verification is a key step in boosting the performance of object-based image retrieval. It serves to eliminate unreliable correspondences between salient points in a given pair of images, and is typically performed by analyzing the consistency of spatial transformations between the image regions involved in individual correspondences. In this paper,(More)
Predicting geographic location using exclusively the visual content of images holds the promise of greatly benefiting users' access to media collections. In this paper, we present a visual-content-based approach that predicts where in the world a social image was taken. We employ a ranking method that assigns a query photo the geo-location of its most(More)
In this paper, a video watermarking scheme is proposed, which has high capacity and is robust against transcoding between MPEG2, MPEG4 and H.264. In the proposed scheme, the watermark is embedded into the DCT blocks and the frames in the same GOP are watermarked with the same watermark. During the embedding, the spatial relationship of DCT coefficient(More)
DAY 1: FIRST MORNING SESSION 9:00–9:15 Opening Brief words of welcome by Martha Larson and Gareth Jones 9:15–10:15 Search and Hyperlinking of Television Content Chair: Maria Eskevich (Dublin City University, Ireland) I. (20 min.) Search and Hyperlinking Task overview: The Search and Hyperlinking Task at MediaEval 2013 (presenter: Robin Aly, University of(More)
INTRODUCTION On July 1, 2011, the Chinese government launched a national Action Plan for antibiotic stewardship targeting antibiotic misuse in public hospitals. The aim of this study was to evaluate the impacts of the Action Plan in terms of frequency and intensity of antibiotic utilization and patients costs in public general hospitals. METHODS(More)
We propose an image representation and matching approach that substantially improves visual-based location estimation for images. The main novelty of the approach, called distinctive visual element matching (DVEM), is its use of representations that are specific to the query image whose location is being predicted. These representations are based on visual(More)
As web video databases tend to contain immense copies with the explosive growth of online videos, effective and efficient copy identification techniques are required for content management and copyrights protection. To this end, this paper presents a novel video hashing for video copy identification based on Locally Linear Embedding (LLE). It maps the video(More)