NDLI: Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory

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ACM Transactions on Interactive Intelligent Systems (TiiS) : Volume 7

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Brief Introduction to the Special Issue on Behavior Understanding for Arts and Entertainment

The VideoMob Interactive Art Installation Connecting Strangers through Inclusive Digital Crowds

Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory

In the Mood for Vlog: Multimodal Inference in Conversational Social Video

A General-Purpose Sensing Floor Architecture for Human-Environment Interaction

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Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory

Content Provider	ACM Digital Library
Author	Sartori, Andreza Yanulevskaya, Victoria Sebe, Nicu Uijlings, Jasper Salah, Almila Akdag Bruni, Elia
Copyright Year	2015
Abstract	When artists express their feelings through the artworks they create, it is believed that the resulting works transform into objects with “emotions” capable of conveying the artists' mood to the audience. There is little to no dispute about this belief: Regardless of the artwork, genre, time, and origin of creation, people from different backgrounds are able to read the emotional messages. This holds true even for the most abstract paintings. Could this idea be applied to machines as well? Can machines learn what makes a work of art “emotional”? In this work, we employ a state-of-the-art recognition system to learn which statistical patterns are associated with positive and negative emotions on two different datasets that comprise professional and amateur abstract artworks. Moreover, we analyze and compare two different annotation methods in order to establish the ground truth of positive and negative emotions in abstract art. Additionally, we use computer vision techniques to quantify which parts of a painting evoke positive and negative emotions. We also demonstrate how the quantification of evidence for positive and negative emotions can be used to predict which parts of a painting people prefer to focus on. This method opens new opportunities of research on why a specific painting is perceived as emotional at global and local scales.
Starting Page	1
Ending Page	27
Page Count	27
File Format	PDF
ISSN	21606455
e-ISSN	21606463
DOI	10.1145/2768209
Volume Number	5
Issue Number	2
Journal	ACM Transactions on Interactive Intelligent Systems (TiiS)
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2015-06-30
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Abstract Paintings Emotion Recognition Eye tracking Visual Art
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Human-Computer Interaction

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

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Affective Analysis of Professional and Amateur Abstract Paintings Using Statistical Analysis and Art Theory

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