A pilot study on affective classification of facial images for emerging news topics
Zhang, Ligang, Lau, Andy, Tjondronegoro, Dian, & Chandran, Vinod (2014) A pilot study on affective classification of facial images for emerging news topics. In Loui, A & Pereira, F (Eds.) Proceedings of the 16th International Workshop on Multimedia Signal Processing. Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1-6.
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Description
The proliferation of news reports published in online websites and news information sharing among social media users necessitates effective techniques for analysing the image, text and video data related to news topics. This paper presents the first study to classify affective facial images on emerging news topics. The proposed system dynamically monitors and selects the current hot (of great interest) news topics with strong affective interestingness using textual keywords in news articles and social media discussions. Images from the selected hot topics are extracted and classified into three categorized emotions, positive, neutral and negative, based on facial expressions of subjects in the images. Performance evaluations on two facial image datasets collected from real-world resources demonstrate the applicability and effectiveness of the proposed system in affective classification of facial images in news reports. Facial expression shows high consistency with the affective textual content in news reports for positive emotion, while only low correlation has been observed for neutral and negative. The system can be directly used for applications, such as assisting editors in choosing photos with a proper affective semantic for a certain topic during news report preparation.
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| ID Code: | 74150 | ||||
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| Item Type: | Chapter in Book, Report or Conference volume (Conference contribution) | ||||
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| Measurements or Duration: | 6 pages | ||||
| Event Title: | IEEE International Workshop on Multimedia Signal Processing | ||||
| Event Dates: | 2014-09-22 - 2014-09-24 | ||||
| Event Location: | Indonesia | ||||
| Keywords: | Affective classification, facial expression recognition, facial images, news, sentiment analysis | ||||
| DOI: | 10.1109/MMSP.2014.6958799 | ||||
| ISBN: | 978-1-4799-5896-2 | ||||
| Pure ID: | 32642051 | ||||
| Divisions: | Past > QUT Faculties & Divisions > Science & Engineering Faculty | ||||
| Copyright Owner: | Consult author(s) regarding copyright matters | ||||
| Copyright Statement: | This work is covered by copyright. Unless the document is being made available under a Creative Commons Licence, you must assume that re-use is limited to personal use and that permission from the copyright owner must be obtained for all other uses. If the document is available under a Creative Commons License (or other specified license) then refer to the Licence for details of permitted re-use. It is a condition of access that users recognise and abide by the legal requirements associated with these rights. If you believe that this work infringes copyright please provide details by email to qut.copyright@qut.edu.au | ||||
| Deposited On: | 17 Oct 2014 07:45 | ||||
| Last Modified: | 27 Oct 2025 04:14 |
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