NDLI: Exploring Scale-Induced Feature Hierarchies in Natural Images

Content Provider	IEEE Xplore Digital Library
Author	Perkio, J. Tuytelaars, T. Buntine, W.
Copyright Year	2009
Abstract	Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-features representation is not realistic however: patches often overlap and share underlying image structures. Moreover, important information with respect to relative scales of the features is completely ignored, for the sake of scale invariance. Considering both spatial and scale-based constraints one can derive spatially constrained natural feature hierarchies within images. We explore the use of topic models that build such spatially constrained scale-induced hierarchies of the features in an unsupervised fashion. Our model uses standard topic models as a starting point. We then incorporate information about the hierarchical and spatial relations of the features into the model. We illustrate the hierarchical nature of the resulting models using datasets of natural images, including the MSRC2 dataset as well as a challenging set of images of trees collected from the Internet.
Starting Page	25
Ending Page	31
File Size	393529
Page Count	7
File Format	PDF
ISBN	9780769539263
DOI	10.1109/ICMLA.2009.93
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Natural image modelling Image sampling Data mining Information technology Scale-induced hierarchy Machine learning Detectors Hierarchical topic model Cameras Feature extraction Robustness Internet Australia
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

Exploring scale-induced feature hierarchies in natural images.

A DFM Model of Mining Product Features from Customer Reviews

Comparison of local descriptors for image registration of geometrically-complex 3D scenes

Realtime Edge-Based Visual Odometry for a Monocular Camera

A Novel Synchronisation Approach for Digital Image Watermarking Based on Scale Invariant Feature Point Detector

Accurate extraction of human faces and their components from color digital images based on a hierarchical model

Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification

Short Text Feature Extraction and Clustering for Web Topic Mining

Unsupervised hierarchical convolutional sparse auto-encoder for high spatial resolution imagery scene classification

Exploring Scale-Induced Feature Hierarchies in Natural Images

Similar Documents

Exploring scale-induced feature hierarchies in natural images.

A DFM Model of Mining Product Features from Customer Reviews

Comparison of local descriptors for image registration of geometrically-complex 3D scenes

Realtime Edge-Based Visual Odometry for a Monocular Camera

A Novel Synchronisation Approach for Digital Image Watermarking Based on Scale Invariant Feature Point Detector

Accurate extraction of human faces and their components from color digital images based on a hierarchical model

Detecting Cognitive States from fMRI Images by Machine Learning and Multivariate Classification

Short Text Feature Extraction and Clustering for Web Topic Mining

Unsupervised hierarchical convolutional sparse auto-encoder for high spatial resolution imagery scene classification

Exploring Scale-Induced Feature Hierarchies in Natural Images