Improvement of natural image search engines results by emotional filtering

Denis, Patrice and Courboulay, Vincent and Revel, Arnaud and Gbèhounou, Syntyche and Lecellier, François and Fernandez-Maloigne, Christine (2016) Improvement of natural image search engines results by emotional filtering. EAI Endorsed Transactions on Creative Technologies, 3 (6). e4. ISSN 2409-9708

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Abstract

With the Internet 2.0 era, managing user emotions is a problem that more and more actors are interested in. Historically, the first notions of emotion sharing were expressed and defined with emoticons. They allowed users to show their emotional status to others in an impersonal and emotionless digital world. Now, in the Internet of social media, every day users share lots of content with each other on Facebook, Twitter, Google+ and so on. Several new popular web sites like FlickR, Picassa, Pinterest, Instagram or DeviantArt are now specifically based on sharing image content as well as personal emotional status. This kind of information is economically very valuable as it can for instance help commercial companies sell more efficiently. In fact, with this king of emotional information, business can made where companies will better target their customers needs, and/or even sell them more products. Research has been and is still interested in the mining of emotional information from user data since then. In this paper, we focus on the impact of emotions from images that have been collected from search image engines. More specifically our proposition is the creation of a filtering layer applied on the results of such image search engines. Our peculiarity relies in the fact that it is the first attempt from our knowledge to filter image search engines results with an emotional filtering approach.

Item Type: Article
Uncontrolled Keywords: creative/affective experiences, creative technologies, creative user experience, emotions, image search engine, natural images, image retrieval, image web browsing, bottom-up saliency, regions of interest
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 06 Apr 2021 13:35
Last Modified: 06 Apr 2021 13:35
URI: https://eprints.eudl.eu/id/eprint/2168

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