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Alejandro Jaimes, Ana B. Benitez, Shih-Fu Chang, Alexander C. Loui. Discovering Recurrent Visual Semantics in Consumer Photographs. In IEEE International Conference on Image Processing (ICIP), Invited Paper on Special Session on Semantic Feature Extraction in Consumer Contents, Vancouver, Canada, September 0.

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Abstract

We present techniques to semi-automatically discover Recurrent Visual Semantics (RVS) -the repetitive appearance of visually similar elements such as objects and scenes- in consumer photographs. First, we introduce the detection of "bracketing" (very similar photographs) using an edge-correlation metric, which outperforms color histogram. Then, we use color and novel composition features (based on automatic region segmentation) to perform scene-level clustering of images. We use a novel sequence-weighted technique, which uses the structure of standard film (only image sequence information), to perform hierarchical clustering. We show performance results of bracketing, explore clustering evaluation, and discuss STELLA, an interactive albuming and story telling application that uses these techniques to assist users in building digital albums. The STELLA system uses a new approach to album creation: instead of automatically creating albums, it provides an interactive environment that assists users in digital album creation

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Alejandro Jaimes
Shih-Fu Chang

BibTex Reference

@InProceedings{dvmmPub50,
   Author = {Jaimes, Alejandro and Benitez,    Ana B. and Chang, Shih-Fu and C. Loui, Alexander},
   Title = {Discovering Recurrent Visual Semantics in Consumer Photographs},
   BookTitle = {IEEE International Conference on Image Processing       (ICIP), Invited Paper on Special Session on Semantic Feature          Extraction in Consumer Contents},
   Address = {Vancouver, Canada},
   Month = {September},
   Year = {0}
}

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