Our research group has been working on attractiveness prediction, reasoning, and even enhancement for multimedia content, which we call “attractiveness computing.” Attractiveness includes impressiveness, instagrammability, memorability, clickability, and so on. Analyzing such attractiveness was usually done by experienced professionals but we have experimentally revealed that artificial intelligence (AI) based on big multimedia data can imitate or reproduce professionals' skills in some cases. In this paper, we introduce some of the representative works and possible real-life applications of our attractiveness computing for image media.
Toshihiko YAMASAKI
The University of Tokyo
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Toshihiko YAMASAKI, "Attractiveness Computing in Image Media" in IEICE TRANSACTIONS on Fundamentals,
vol. E106-A, no. 9, pp. 1196-1201, September 2023, doi: 10.1587/transfun.2022IMI0001.
Abstract: Our research group has been working on attractiveness prediction, reasoning, and even enhancement for multimedia content, which we call “attractiveness computing.” Attractiveness includes impressiveness, instagrammability, memorability, clickability, and so on. Analyzing such attractiveness was usually done by experienced professionals but we have experimentally revealed that artificial intelligence (AI) based on big multimedia data can imitate or reproduce professionals' skills in some cases. In this paper, we introduce some of the representative works and possible real-life applications of our attractiveness computing for image media.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.2022IMI0001/_p
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@ARTICLE{e106-a_9_1196,
author={Toshihiko YAMASAKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Attractiveness Computing in Image Media},
year={2023},
volume={E106-A},
number={9},
pages={1196-1201},
abstract={Our research group has been working on attractiveness prediction, reasoning, and even enhancement for multimedia content, which we call “attractiveness computing.” Attractiveness includes impressiveness, instagrammability, memorability, clickability, and so on. Analyzing such attractiveness was usually done by experienced professionals but we have experimentally revealed that artificial intelligence (AI) based on big multimedia data can imitate or reproduce professionals' skills in some cases. In this paper, we introduce some of the representative works and possible real-life applications of our attractiveness computing for image media.},
keywords={},
doi={10.1587/transfun.2022IMI0001},
ISSN={1745-1337},
month={September},}
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TY - JOUR
TI - Attractiveness Computing in Image Media
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1196
EP - 1201
AU - Toshihiko YAMASAKI
PY - 2023
DO - 10.1587/transfun.2022IMI0001
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E106-A
IS - 9
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - September 2023
AB - Our research group has been working on attractiveness prediction, reasoning, and even enhancement for multimedia content, which we call “attractiveness computing.” Attractiveness includes impressiveness, instagrammability, memorability, clickability, and so on. Analyzing such attractiveness was usually done by experienced professionals but we have experimentally revealed that artificial intelligence (AI) based on big multimedia data can imitate or reproduce professionals' skills in some cases. In this paper, we introduce some of the representative works and possible real-life applications of our attractiveness computing for image media.
ER -