NDLI: SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor

Content Provider	IEEE Xplore Digital Library
Author	Xiaochun Cao Hua Zhang Si Liu Xiaojie Guo Liang Lin
Copyright Year	2013
Description	Author affiliation: Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China (Xiaochun Cao; Hua Zhang) \|\| Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore (Si Liu) \|\| Inst. of Inf. Eng., Beijing, China (Xiaojie Guo) \|\| Sch. of Software, Sun Yat-Sen Univ., Guangzhou, China (Liang Lin)
Abstract	Recently, studies on sketch, such as sketch retrieval and sketch classification, have received more attention in the computer vision community. One of its most fundamental and essential problems is how to more effectively describe a sketch image. Many existing descriptors, such as shape context, have achieved great success. In this paper, we propose a new descriptor, namely Symmetric-aware Flip Invariant Sketch Histogram (SYM-FISH) to refine the shape context feature. Its extraction process includes three steps. First the Flip Invariant Sketch Histogram (FISH) descriptor is extracted on the input image, which is a flip-invariant version of the shape context feature. Then we explore the symmetry character of the image by calculating the kurtosis coefficient. Finally, the SYM-FISH is generated by constructing a symmetry table. The new SYM-FISH descriptor supplements the original shape context by encoding the symmetric information, which is a pervasive characteristic of natural scene and objects. We evaluate the efficacy of the novel descriptor in two applications, i.e., sketch retrieval and sketch classification. Extensive experiments on three datasets well demonstrate the effectiveness and robustness of the proposed SYM-FISH descriptor.
Sponsorship	IEEE Comput. Soc.
Starting Page	313
Ending Page	320
File Size	451539
Page Count	8
File Format	PDF
ISBN	9781479928408
ISSN	15505499
DOI	10.1109/ICCV.2013.46
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-01
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Shape Marine animals Context Visualization Feature extraction Histograms Image edge detection
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

SYM-FISH: A Symmetry-aware Flip Invariant Sketch Histogram Shape Descriptor

Bilateral symmetry detection based on scale invariant structure feature

Efficient region search for object detection

Scale-invariant sampling for supervised image segmentation

Image matching using local symmetry features

Context aware topic model for scene recognition

A novel shape descriptor: Intersection Consistency Histograms

Fast human detection using Pose-Invariant Descriptor

Scale Invariant Feature Transform using oriented pattern

SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor

Similar Documents

SYM-FISH: A Symmetry-aware Flip Invariant Sketch Histogram Shape Descriptor

Bilateral symmetry detection based on scale invariant structure feature

Efficient region search for object detection

Scale-invariant sampling for supervised image segmentation

Image matching using local symmetry features

Context aware topic model for scene recognition

A novel shape descriptor: Intersection Consistency Histograms

Fast human detection using Pose-Invariant Descriptor

Scale Invariant Feature Transform using oriented pattern

SYM-FISH: A Symmetry-Aware Flip Invariant Sketch Histogram Shape Descriptor