NDLI: Orientation judgment for abstract paintings

Content Provider	Springer Nature Link
Author	Liu, Jia Dong, Weiming Zhang, Xiaopeng Jiang, Zhiguo
Copyright Year	2015
Abstract	Artists decide the orientation at which an abstract painting should be hung based on their ideas, but the correct orientation is not obvious to other viewers. Some studies have found that abstract paintings at the correct orientations generally get higher aesthetic ratings from viewers. This encourages us to deal with the problem of orientation judgment for abstract paintings through machine learning. First, we design a group of methods to extract features from paintings based on the theories in abstract art. Then a machine leaning framework is proposed using Naive Bayes classifier and BP neural network classifier for training and orientation testing. Experiments show that it can classify abstract paintings into up and non-up ones with performance comparable to human. This is the first work of orientation judgment for abstract paintings through computer simulation, and the results demonstrate the validity of abstract art theories used for feature definition. This work provides a new scheme for exploring the relationship between aesthetic quality of abstract paintings and their computational visual features.
Starting Page	1017
Ending Page	1036
Page Count	20
File Format	PDF
ISSN	13807501
Journal	Multimedia Tools and Applications
Volume Number	76
Issue Number	1
e-ISSN	15737721
Language	English
Publisher	Springer US
Publisher Date	2015-11-26
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Abstract paintings Image classification Feature extraction Orientation judgment Art theory Multimedia Information Systems Computer Communication Networks Data Structures, Cryptology and Information Theory Special Purpose and Application-Based Systems
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Hardware and Architecture Software Media Technology

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

Shot scale distribution in art films

Parallel neural networks for multimodal video genre classification

Special Issue: Interactive Multimedia Convergence

Skin feature extraction and processing model for statistical skin age estimation

Editorial: “State of the Art in Multimedia Computing”

Semantic multimedia

Multimedia modeling

Classifying cinematographic shot types

Multimedia Algorithmics

Orientation judgment for abstract paintings

Similar Documents

Shot scale distribution in art films

Parallel neural networks for multimodal video genre classification

Special Issue: Interactive Multimedia Convergence

Skin feature extraction and processing model for statistical skin age estimation

Editorial: “State of the Art in Multimedia Computing”

Semantic multimedia

Multimedia modeling

Classifying cinematographic shot types

Multimedia Algorithmics

Orientation judgment for abstract paintings