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1. 1 Semantic Image Representationfor Visual Recognition Nikhil Rasiwasia Statistical Visual Computing Laboratory University of California, San Diego

2. About Me Senior graduate student in ECE Department, University of California San Diego (UCSD) Bachelor of Technology in Electrical Engineering from Indian Institute of Technology Kanpur (IITK’05) Research Experience ECE Department, UCSD [2005-present] Microsoft Research [summer’09] Google Inc [summer’07] Department of Visual Arts, UCSD [summer’05] IIT Kanpur [2004-2005] FondazioneGraphiTech, Italy [summer’04] 2

3. Research Contribution In the areas of Machine Learning and Computer Vision In general, probabilistic models for computer vision tasks such as image classification, retrieval, annotation etc. Semantic Representation of Images:[IEEE Trans. Multimedia’07], [CVPR’08], [ACM CIVR’06] Holistic Context Models:[IEEE PAMI (to appear)], [IEEE ICIP’08], [ACM MIR’08], [CVPR’09] Text Image Modeling:[ACM MM’10 (best student paper)], [CVPR’11 (submitted)] Generative Models for Image Classification: [CVPR’11 (submitted)] 3

4. Outline Motivation Content Based Image Retrieval Query by Visual Example Image Representation Appearance based concept models Semantic Space Contextual Noise Context based concept models Experiments Connections to existing models 4

5. An Image (Picture) A painting, drawing, photograph, or other visualrepresentationon a surface.(Oxford English Dictionary). What is this-----------> An image/picture of Buildings Street Cars Sky Flowers City scene … Some concepts are moreprominent than others. Actually from ‘Street’ class! 5