Deep Sentiment Features of Context and Faces for Affective Video Analysis-Reference-Cited by-同舟云学术

Deep Sentiment Features of Context and Faces for Affective Video Analysis

Published:2017-06-06 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2017 ACM on International Conference on Multimedia Retrieval
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Author:

Baecchi Claudio¹,Uricchio Tiberio¹,Bertini Marco¹,Del Bimbo Alberto¹

Affiliation:

1. Università degli Studi di Firenze, Firenze, Italy

Funder

MIUR Social Museum and Smart Tourism

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3078971.3079027

Reference38 articles.

1. A multimodal feature learning approach for sentiment analysis of social network multimedia

2. LIRIS-ACCEDE: A Video Database for Affective Content Analysis

3. SentiBank

4. Tao Chen Damian Borth Trevor Darrell and Shih-Fu Chang. 2014. DeepSen- tiBank: Visual sentiment concept classification with deep convolutional neural networks. arXiv preprint arXiv:1410.8586 (2014). Tao Chen Damian Borth Trevor Darrell and Shih-Fu Chang. 2014. DeepSen- tiBank: Visual sentiment concept classification with deep convolutional neural networks. arXiv preprint arXiv:1410.8586 (2014).

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