NDLI: Generative hierarchical models for image analysis

Content Provider	IEEE Xplore Digital Library
Author	Geman, S.
Copyright Year	2009
Description	Author affiliation: Div. of Appl. Math., Brown Univ., Providence, RI, USA (Geman, S.)
Abstract	A probabilistic grammar for the groupings and labeling of parts and objects, when taken together with pose and part-dependent appearance models, constitutes a generative scene model and a Bayesian framework for image analysis. To the extent that the generative model generates features, as opposed to pixel intensities, the "inverse" or "posterior distribution" on interpretations given images is based on incomplete information; feature vectors are generally insufficient to recover the original intensities. I will argue for fully generative scene models, meaning models that in principle generate actual digital pictures. I will outline an approach to the construction of fully generative models through an extension of context-sensitive grammars and a re-formulation of the popular template models for image fragments. Mostly I will focus on the problem of constructing pixel-level appearance models. I will propose an approach based on image-fragment templates, as introduced by Ullman and others. However, rather than using a correlation between a template and a given image patch as an extracted feature.
Starting Page	1
Ending Page	1
File Size	53187
Page Count	1
File Format	PDF
ISBN	9781424439942
ISSN	21607508
DOI	10.1109/CVPRW.2009.5204335
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-06-20
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image analysis Image color analysis Eyes Layout Data models Mathematics Mathematical model Pixel Context modeling Testing
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Color recognition in outdoor images

Combining GLCM Features and Markov Random Field Model for Colour Textured Image Segmentation

Adaptive Color Curve Models for Image Matting

Color recovery in outdoor environments: a novel integrated approach using retinex, gray world and stretching

Interactive object extraction using hierarchical graph cuts

Spatial-color pixel classification by spectral clustering for color image segmentation

Context dependent edge detection

Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models

Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach

Generative hierarchical models for image analysis

Similar Documents

Color recognition in outdoor images

Combining GLCM Features and Markov Random Field Model for Colour Textured Image Segmentation

Adaptive Color Curve Models for Image Matting

Color recovery in outdoor environments: a novel integrated approach using retinex, gray world and stretching

Interactive object extraction using hierarchical graph cuts

Spatial-color pixel classification by spectral clustering for color image segmentation

Context dependent edge detection

Generative Model and Consistent Estimation Algorithms for Non-Rigid Deformable Models

Color Texture Modeling and Color Image Decomposition in a Variational-PDE Approach

Generative hierarchical models for image analysis