Modeling the Shape of the Scene: A Holistic Representation of the Spatial Envelope
International Journal of Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognizing contextual polarity in phrase-level sentiment analysis
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Foundations and Trends in Information Retrieval
Twitter power: Tweets as electronic word of mouth
Journal of the American Society for Information Science and Technology
Affective image classification using features inspired by psychology and art theory
Proceedings of the international conference on Multimedia
Sentiment in short strength detection informal text
Journal of the American Society for Information Science and Technology
Studying aesthetics in photographic images using a computational approach
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part III
What makes an image memorable?
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
SUN attribute database: Discovering, annotating, and recognizing scene attributes
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Assessing the aesthetic quality of photographs using generic image descriptors
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
Proceedings of the 20th ACM international conference on Multimedia
Can we understand van gogh's mood?: learning to infer affects from images in social networks
Proceedings of the 20th ACM international conference on Multimedia
Intent and its discontents: the user at the wheel of the online video search engine
Proceedings of the 20th ACM international conference on Multimedia
Scaring or pleasing: exploit emotional impact of an image
Proceedings of the 20th ACM international conference on Multimedia
Emotion-based sequence of family photos
Proceedings of the 20th ACM international conference on Multimedia
Query specific fusion for image retrieval
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
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Visual content analysis has always been important yet challenging. Thanks to the popularity of social networks, images become an convenient carrier for information diffusion among online users. To understand the diffusion patterns and different aspects of the social images, we need to interpret the images first. Similar to textual content, images also carry different levels of sentiment to their viewers. However, different from text, where sentiment analysis can use easily accessible semantic and context information, how to extract and interpret the sentiment of an image remains quite challenging. In this paper, we propose an image sentiment prediction framework, which leverages the mid-level attributes of an image to predict its sentiment. This makes the sentiment classification results more interpretable than directly using the low-level features of an image. To obtain a better performance on images containing faces, we introduce eigenface-based facial expression detection as an additional mid-level attributes. An empirical study of the proposed framework shows improved performance in terms of prediction accuracy. More importantly, by inspecting the prediction results, we are able to discover interesting relationships between mid-level attribute and image sentiment.