NDLI: Actionable information in vision

Content Provider	IEEE Xplore Digital Library
Author	Soatto, S.
Copyright Year	2009
Description	Author affiliation: University of California, Los Angeles, USA (Soatto, S.)
Abstract	I propose a notion of visual information as the complexity not of the raw images, but of the images after the effects of nuisance factors such as viewpoint and illumination are discounted. It is rooted in ideas of J. J. Gibson, and stands in contrast to traditional information as entropy or coding length of the data regardless of its use, and regardless of the nuisance factors affecting it. The non-invertibility of nuisances such as occlusion and quantization induces an “information gap” that can only be bridged by controlling the data acquisition process. Measuring visual information entails early vision operations, tailored to the structure of the nuisances so as to be “lossless” with respect to visual decision and control tasks (as opposed to data transmission and storage tasks implicit in traditional Information Theory). I illustrate these ideas on visual exploration, whereby a “Shannonian Explorer” guided by the entropy of the data navigates unaware of the structure of the physical space surrounding it, while a “Gibsonian Explorer” is guided by the topology of the environment, despite measuring only images of it, without performing 3D reconstruction. The operational definition of visual information suggests desirable properties that a visual representation should possess to best accomplish vision-based decision and control tasks.
Starting Page	2138
Ending Page	2145
File Size	12393330
Page Count	8
File Format	PDF
ISBN	9781424444205
ISSN	15505499
DOI	10.1109/ICCV.2009.5459468
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-29
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Entropy Lighting Quantization Data acquisition Data communication Information theory Navigation Topology Performance evaluation Image reconstruction
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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

Image Comparison by Compound Disjoint Information

Topology-adaptive multi-view photometric stereo

Face recognition under variable lighting using harmonic image exemplars

On the set of images modulo viewpoint and contrast changes

An information theoretic approach for tracker performance evaluation

Image registration by aligning entropies

Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization

Wide-baseline multiple-view correspondences

Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition

Actionable information in vision

Similar Documents

Image Comparison by Compound Disjoint Information

Topology-adaptive multi-view photometric stereo

Face recognition under variable lighting using harmonic image exemplars

On the set of images modulo viewpoint and contrast changes

An information theoretic approach for tracker performance evaluation

Image registration by aligning entropies

Resolving the Generalized Bas-Relief Ambiguity by Entropy Minimization

Wide-baseline multiple-view correspondences

Discriminant Mutual Subspace Learning for Indoor and Outdoor Face Recognition

Actionable information in vision