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Title: Where do emotions come from? Predicting the Emotion Stimuli Map
Authors: Peng K.-C.
Sadovnik A.
Gallagher A.
Chen T. 
Keywords: Emotion stimuli map
Fully convolutional networks
Issue Date: 2016
Publisher: IEEE Computer Society
Citation: Peng K.-C., Sadovnik A., Gallagher A., Chen T. (2016). Where do emotions come from? Predicting the Emotion Stimuli Map. Proceedings - International Conference on Image Processing, ICIP 2016-August : 614-618. ScholarBank@NUS Repository.
Abstract: Which parts of an image evoke emotions in an observer? To answer this question, we introduce a novel problem in computer vision - predicting an Emotion Stimuli Map (ESM), which describes pixel-wise contribution to evoked emotions. Building a new image database, EmotionROI, as a benchmark for predicting the ESM, we find that the regions selected by saliency and objectness detection do not correctly predict the image regions which evoke emotion. Although objects represent important regions for evoking emotion, parts of the background are also important. Based on this fact, we propose using fully convolutional networks for predicting the ESM. Both qualitative and quantitative experimental results confirm that our method can predict the regions which evoke emotion better than both saliency and objectness detection.
Source Title: Proceedings - International Conference on Image Processing, ICIP
ISBN: 9781467399616
ISSN: 15224880
DOI: 10.1109/ICIP.2016.7532430
Appears in Collections:Staff Publications

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