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Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
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Experimental result analysis for a generative probabilistic image retrieval model
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Temporal event clustering for digital photo collections
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Incorporating concept ontology into multi-level image indexing
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Automatic image semantic interpretation using social action and tagging data
Multimedia Tools and Applications
Semantic analysis and retrieval in personal and social photo collections
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Restricted deep belief networks for multi-view learning
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Proceedings of the 17th International Conference on Management of Data
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Other than the pixel information, a digital photo of today has a host of other information regarding the photo shooting event. These information are captured by different sensors present on the camera and are stored as metadata. In this paper we exploit this meta information and derive useful semantics about the digital photo. We also compare our results with classical relevance models used for automatic photo annotation. We create a dataset of digital photos containing all information and report results on it. We also make the dataset available to the community for further experiments.