Shukla, A., Gullapuram, S. S., Katti, H., Yadati, K., Kankanhalli, M. and Subramanian, R. (2017) Affect Recognition in Ads with Application to Computational Advertising. In: 2017 ACM on Multimedia Conference (MM '17), Mountain View, CA, USA, 23-27 Oct 2017, pp. 1148-1156. ISBN 9781450349062 (doi: 10.1145/3123266.3123444)
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Abstract
Advertisements (ads) often include strongly emotional content to leave a lasting impression on the viewer. This work (i) compiles an affective ad dataset capable of evoking coherent emotions across users, as determined from the affective opinions of five experts and 14 annotators; (ii) explores the efficacy of convolutional neural network (CNN) features for encoding emotions, and observes that CNN features outperform low-level audio-visual emotion descriptors [9] upon extensive experimentation; and (iii) demonstrates how enhanced affect prediction facilitates computational advertising, and leads to better viewing experience while watching an online video stream embedded with ads based on a study involving 17 users. We model ad emotions based on subjective human opinions as well as objective multimodal features, and show how effectively modeling ad emotions can positively impact a real-life application.
Item Type: | Conference Proceedings |
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Additional Information: | This research is supported by the National Research Foundation, Prime Ministers Office, Singapore under its International Research Centre in Singapore Funding Initiative. |
Status: | Published |
Refereed: | Yes |
Glasgow Author(s) Enlighten ID: | Subramanian, Dr Ramanathan |
Authors: | Shukla, A., Gullapuram, S. S., Katti, H., Yadati, K., Kankanhalli, M., and Subramanian, R. |
College/School: | College of Science and Engineering > School of Computing Science |
Publisher: | ACM Press |
ISBN: | 9781450349062 |
Copyright Holders: | Copyright © 2017 Association for Computing Machinery |
First Published: | First published in Proceedings of the 2017 ACM on Multimedia Conference (MM '17): 1148-1156 |
Publisher Policy: | Reproduced in accordance with the publisher copyright policy |
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