
- We present a statistical model for organizing image collections which integrates semantic information
- "!#" $&%'()"0 "1"23$ " 4" 56 2
- Color Constancy with Fluorescent Kobus Barnard
- Mutual information of words and pictures Kobus Barnard
- Image Region Entropy: A Measure of "Visualness" of Web Images Associated with One Concept
- A Statistical Model for General Contextual Object Recognition
- Investigations into MultiScale Retinex Kobus Barnard and Brian Funt
- Improvements to Gamut Mapping Colour Constancy Algorithms
- Luminance-Based Multi-Scale Retinex Kobus Barnard
- Journal of Machine Learning Research 3 (2003) 11071135 Submitted 4/02; Published 2/03 Matching Words and Pictures
- ACCURATE ALIGNMENT OF PRESENTATION SLIDES WITH EDUCATIONAL VIDEO Quanfu Fan (1,3), Kobus Barnard (1), Arnon Amir (2), Alon Efrat (1)
- We present a statistical learning approach for finding recreational trails in aerial images. While the
- IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June 2007 c IEEE Inferring Grammar-based Structure Models from 3D Microscopy Data
- TEMPORAL MODELING OF SLIDE CHANGE IN PRESENTATION VIDEOS Quanfu Fan (1), Arnon Amir (2), Kobus Barnard (1), Ranjini Swaminathan (1) and Alon Efrat (1)
- Matching Slides To Presentation Videos Using SIFT and Scene Background Matching
- !#"$&%('0)213#%4657578)9A@B6CDE Kobus Barnarda Andrew Connollyb Larry Denneaud Alon Efrata Tommy Gravd
- Probabilistic Travel Modeling using GPS Morris, S, 2
- Probabilistic Web Image Gathering Keiji Yanai
- Evaluation Strategies for Image Understanding and Retrieval
- Evaluating Image Retrieval Nikhil V Shirahatti
- EVALUATING IMAGE RETRIEVAL Nikhil Vasudev Shirahatti
- Digital Trail Libraries Scott Morris
- Exploiting Text and Image Feature Co-occurrence Statistics in Large Datasets
- QUANTITATIVE EVALUATION OF FEATURE SETS, SEGMENTATION ALGORITHMS AND COLOR
- Color and Color Constancy in a Translation Model for Object Recognition
- A method for comparing content based image retrieval methods Kobus Barnard
- A Comparison of Computational Color Constancy Algorithms; Part One
- Kobus Barnard* Computer Division
- Sensor Sharpening for Computational Color Constancy Kobus Barnard*, Florian Ciurea
- Shadow Identification using Colour Kobus Barnard1 and Graham Finlayson2
- The image recorded by a camera depends on three factors: The physical content of the scene, the illumination incident on the scene, and the
- Is Machine Colour Constancy Good Enough? Brian Funt, Kobus Barnard and Lindsay Martin
- Analysis and Improvement of Multi-Scale Retinex Kobus Barnard and Brian Funt
- Color Constancy for Scenes with Varying Illumination (Color Constancy with Varying Illumination)
- Neural Network Colour Constancy and Specularly Reflecting Surfaces Vlad Cardei
- Colour Constancy for Scenes with Varying Illumination
- White Point Estimation for Uncalibrated Images Vlad C. Cardei, Brian Funt and Kobus Barnard
- Learning models of object structure Joseph Schlecht
- Improvements to Gamut Mapping Colour Constancy Algorithms
- Colour by Correlation in a Three Dimensional Colour Space
- We work with a model of object recognition where words must be placed on image regions. This approach
- Color Constancy with Fluorescent Kobus Barnard
- Learning the Semantics of Words and Pictures Kobus Barnard and David Forsyth
- Exploiting Image Semantics for Picture Libraries Kobus Barnard
- We extend a recently developed method [1] for learning the semantics of image databases using text and
- Neural Network Colour Constancy and Specularly Reflecting Surfaces Vlad Cardei
- Evaluation of localized semantics: Data, methodology, and experiments
- Modeling the Statistics of Image Features and Associated Text Kobus Barnard, Pinar Duygulu, and David Forsyth
- Exploiting Image Semantics for Picture Libraries Kobus Barnard
- Modeling Color Constancy with Neural Networks Vlad Cardei, Brian Funt and Kobus Barnard
- Journal of Machine Learning Research 3 (2003) 1107--1135 Submitted 4/02; Published 2/03 Matching Words and Pictures
- Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image
- LuminanceBased MultiScale Retinex Kobus Barnard
- Colour by Correlation in a Three-Dimensional Colour Space
- STUDYING ON THE MOVE --ENRICHED PRESENTATION VIDEO FOR MOBILE Andrew Winslow (1), Qiyam Tung (1), Quanfu Fan (1,3), Juhani Torkkola (1), Ranjini Swaminathan(1)
- Recognition as Translating Images into Text Kobus Barnard
- Kobus Barnard* Computer Division
- A Comparison of Computational Color Constancy Algorithms; Part Two
- Object Recognition as Machine Translation Part 2: Exploiting Image Database Clustering Models
- Shadow Identification using Colour Kobus Barnard 1 and Graham Finlayson 2
- Colour Constancy for Scenes with Varying Illumination
- Submitted for publication October 9, 2000, Available in the interim from http://www.cs.berkeley.edu/~kobus/research/publications/indexing/index.html.
- The light recorded by a camera is a function of the scene illumination, the reflective characteristics of the objects in the scene, and the camera
- We extend a recently developed method [1] for learning the semantics of image databases using text and
- Color Constancy with Specular and Non-Specular Surfaces
- Camera calibration for color research Kobus Barnard and Brian Funt
- Is Machine Colour Constancy Good Enough? Brian Funt, Kobus Barnard and Lindsay Martin
- Investigations into multi-scale retinex Kobus Barnard and Brian Funt
- We develop an approach to reduce correspondence ambiguity in training data where data items are
- Third International Symposium on 3D Data Processing, Visualization and Transmission, June 2006 c IEEE Statistical Inference of Biological Structure and Point Spread Functions in
- Modeling Color Constancy with Neural Networks Vlad Cardei, Brian Funt and Kobus Barnard
- Investigations into Multi-Scale Retinex Kobus Barnard and Brian Funt
- Color Constancy for Scenes with Varying Illumination (Color Constancy with Varying Illumination)
- Experiments in Sensor Sharpening for Color Constancy
- Learning Color Constancy Vlad Cardei
- Detecting, Localizing and Recovering Kinematics of Textured Animals Deva Ramanan1
- Sampling Bedrooms Luca Del Pero
- A Generative Statistical Model for Tracking Multiple Smooth Trajectories Ernesto Brau
- Robust Spatio-temporal Matching of Electronic Slides to Presentation Videos
- Fusing object detection and region appearance for image-text alignment
- The light recorded by a camera is a function of the scene illumination, the reflective characteristics of the objects in the scene, and the camera
- We present a statistical model for organizing image collections which integrates semantic information
- Neural Network Colour Constancy and Specularly Reflecting Surfaces Vlad Cardei
- Color Constancy for Scenes with Varying Illumination (Color Constancy with Varying Illumination)
- Colour Constancy for Scenes with Varying Illumination
- Learning Color Constancy Vlad Cardei
- We extend a recently developed method [1] for learning the semantics of image databases using text and
- Colour by Correlation in a Three Dimensional Colour Space
- Color Constancy with Specular and NonSpecular Surfaces
- Color Constancy with Fluorescent Kobus Barnard
- Shadow Identification using Colour Kobus Barnard 1 and Graham Finlayson 2
- Object Recognition as Machine Translation: Learning a Lexicon for a Fixed Image
- LuminanceBased MultiScale Retinex Kobus Barnard
- Improvements to Gamut Mapping Colour Constancy Algorithms
- Journal of Machine Learning Research 3 (2003) 1107--1135 Submitted 4/02; Published 2/03 Matching Words and Pictures
- Is Machine Colour Constancy Good Enough? Brian Funt, Kobus Barnard and Lindsay Martin
- Modeling Color Constancy with Neural Networks Vlad Cardei, Brian Funt and Kobus Barnard
- Investigations into MultiScale Retinex Kobus Barnard and Brian Funt
- Expanding the Point --Automatic Enlargement of Presentation Video Elements
- Exploiting Image Semantics for Picture Libraries Kobus Barnard
- We extend a recently developed method [1] for learning the semantics of image databases using text and
- Kobus Barnard* Computer Division
- Exploiting Image Semantics for Picture Libraries Kobus Barnard
- White Point Estimation for Uncalibrated Images Vlad C. Cardei, Brian Funt and Kobus Barnard
- Learning the Semantics of Words and Pictures Kobus Barnard and David Forsyth