NDLI: From RGB-D Images to RGB Images: Single Labeling for Mining Visual Models

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ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 8

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 7

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Issue 4(Regular Papers and Special Section on Intelligent Healthcare Informatics), August 2015

Issue 3(Survey Paper, Regular Papers and Special Section on Participatory Sensing and Crowd Intelligence), May 2015

Issue 2(Special Section on Visual Understanding with RGB-D Sensors), May 2015

Visual Understanding with RGB-D Sensors: An Introduction to the Special Issue

Kinect Depth Recovery Using a Color-Guided, Region-Adaptive, and Depth-Selective Framework

Depth Error Elimination for RGB-D Cameras

A Combined Approach Toward Consistent Reconstructions of Indoor Spaces Based on 6D RGB-D Odometry and KinectFusion

Robust Multiview Feature Learning for RGB-D Image Understanding

From RGB-D Images to RGB Images: Single Labeling for Mining Visual Models

Accurate and Robust Moving-Object Segmentation for Telepresence Systems

Fusing Multiple Features for Depth-Based Action Recognition

An Evaluation of Gamesourced Data for Human Pose Estimation

Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect

A Real-Time Hand Posture Recognition System Using Deep Neural Networks

Real-Time System for Driver Fatigue Detection by RGB-D Camera

An Approach to Ballet Dance Training through MS Kinect and Visualization in a CAVE Virtual Reality Environment

Exploring Spatial Correlation for Visual Object Retrieval

Pattern Matching Techniques for Replacing Missing Sections of Audio Streamed across Wireless Networks

An Association-Based Unified Framework for Mining Features and Opinion Words

A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion

Data Mining of Online Genealogy Datasets for Revealing Lifespan Patterns in Human Population

Issue 1, April 2015

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 5

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 4

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 3

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 2

ACM Transactions on Intelligent Systems and Technology (TIST) : Volume 1

From RGB-D Images to RGB Images: Single Labeling for Mining Visual Models

Content Provider	ACM Digital Library
Author	Zhao, Huijing Shibasaki, Ryosuke Song, Xuan Zhang, Quanshi Shao, Xiaowei
Copyright Year	2015
Abstract	Mining object-level knowledge, that is, building a comprehensive category model base, from a large set of cluttered scenes presents a considerable challenge to the field of artificial intelligence. How to initiate model learning with the least human supervision (i.e., manual labeling) and how to encode the structural knowledge are two elements of this challenge, as they largely determine the scalability and applicability of any solution. In this article, we propose a model-learning method that starts from a single-labeled object for each category, and mines further model knowledge from a number of informally captured, cluttered scenes. However, in these scenes, target objects are relatively small and have large variations in texture, scale, and rotation. Thus, to reduce the model bias normally associated with less supervised learning methods, we use the robust 3D shape in RGB-D images to guide our model learning, then apply the properly trained category models to both object detection and recognition in more conventional RGB images. In addition to model training for their own categories, the knowledge extracted from the RGB-D images can also be transferred to guide model learning for a new category, in which only RGB images without depth information in the new category are provided for training. Preliminary testing shows that the proposed method performs as well as fully supervised learning methods.
Starting Page	1
Ending Page	29
Page Count	29
File Format	PDF
ISSN	21576904
e-ISSN	21576912
DOI	10.1145/2629701
Volume Number	6
Issue Number	2
Journal	ACM Transactions on Intelligent Systems and Technology (TIST)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-03-31
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Data mining RGB-D sensor Big visual data Computer vision Transfer learning Visual knowledge base Visual mining
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Theoretical Computer Science

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

Object Discovery: Soft Attributed Graph Mining

Indoor Scene Understanding with RGB-D Images: Bottom-up Segmentation, Object Detection and Semantic Segmentation

Robust Multiview Feature Learning for RGB-D Image Understanding

Event labeling combining ensemble detectors and background knowledge

Refining Geometry from Depth Sensors using IR Shading Images

Representing Knowledge of the Visual World

Visual Understanding with RGB-D Sensors: An Introduction to the Special Issue

Learning from imbalanced data: open challenges and future directions

A survey on learning from data streams: current and future trends

From RGB-D Images to RGB Images: Single Labeling for Mining Visual Models

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Object Discovery: Soft Attributed Graph Mining

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Robust Multiview Feature Learning for RGB-D Image Understanding

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