{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,27]],"date-time":"2025-12-27T00:55:27Z","timestamp":1766796927310,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2023,1,6]],"date-time":"2023-01-06T00:00:00Z","timestamp":1672963200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2023,1,6]]},"DOI":"10.1145\/3582649.3582678","type":"proceedings-article","created":{"date-parts":[[2023,4,7]],"date-time":"2023-04-07T16:23:28Z","timestamp":1680884608000},"page":"76-82","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["Boosting Image Emotion Analysis via Coupling Dependent Attentive Model"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5011-5733","authenticated-orcid":false,"given":"Xiao","family":"Han","sequence":"first","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0404-6941","authenticated-orcid":false,"given":"Hao","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2603-436X","authenticated-orcid":false,"given":"Zhaoyu","family":"Xiong","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2320-229X","authenticated-orcid":false,"given":"Yanan","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6207-9728","authenticated-orcid":false,"given":"Kangjian","family":"He","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4602-3550","authenticated-orcid":false,"given":"Dan","family":"Xu","sequence":"additional","affiliation":[{"name":"School of Information Science and Engineering, Yunnan University, China"}]}],"member":"320","published-online":{"date-parts":[[2023,4,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2022.04.016"},{"volume-title":"Exploring principles-of-art features for image emotion recognition[C]\/\/Proceedings of the 22nd ACM international conference on Multimedia. 2014: 47-56","author":"Zhao S","key":"e_1_3_2_1_2_1","unstructured":"Zhao S , Gao Y , Jiang X , Exploring principles-of-art features for image emotion recognition[C]\/\/Proceedings of the 22nd ACM international conference on Multimedia. 2014: 47-56 . Zhao S, Gao Y, Jiang X, Exploring principles-of-art features for image emotion recognition[C]\/\/Proceedings of the 22nd ACM international conference on Multimedia. 2014: 47-56."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"He K Zhang X Ren S Deep residual learning for image recognition[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770-778.  He K Zhang X Ren S Deep residual learning for image recognition[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 770-778.","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Szegedy C Vanhoucke V Ioffe S Rethinking the inception architecture for computer vision[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 2818-2826.  Szegedy C Vanhoucke V Ioffe S Rethinking the inception architecture for computer vision[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2016: 2818-2826.","DOI":"10.1109\/CVPR.2016.308"},{"key":"e_1_3_2_1_5_1","volume-title":"An argument for basic emotions[J]. Cognition & emotion","author":"Ekman P.","year":"1992","unstructured":"Ekman P. An argument for basic emotions[J]. Cognition & emotion , 1992 , 6(3-4): 169-200. Ekman P. An argument for basic emotions[J]. Cognition & emotion, 1992, 6(3-4): 169-200."},{"volume-title":"Image emotion computing[C]\/\/Proceedings of the 24th ACM international conference on Multimedia. 2016: 1435-1439","author":"Zhao S.","key":"e_1_3_2_1_6_1","unstructured":"Zhao S. Image emotion computing[C]\/\/Proceedings of the 24th ACM international conference on Multimedia. 2016: 1435-1439 . Zhao S. Image emotion computing[C]\/\/Proceedings of the 24th ACM international conference on Multimedia. 2016: 1435-1439."},{"key":"e_1_3_2_1_7_1","volume-title":"Emotional category data on images from the International Affective Picture System[J]. Behavior research methods","author":"Mikels J A","year":"2005","unstructured":"Mikels J A , Fredrickson B L , Larkin G R , Emotional category data on images from the International Affective Picture System[J]. Behavior research methods , 2005 , 37(4): 626-630. Mikels J A, Fredrickson B L, Larkin G R, Emotional category data on images from the International Affective Picture System[J]. Behavior research methods, 2005, 37(4): 626-630."},{"volume-title":"The role of visual attention in sentiment prediction[C]\/\/Proceedings of the 25th ACM international conference on Multimedia. 2017: 217-225","author":"Fan S","key":"e_1_3_2_1_8_1","unstructured":"Fan S , Jiang M , Shen Z , The role of visual attention in sentiment prediction[C]\/\/Proceedings of the 25th ACM international conference on Multimedia. 2017: 217-225 . Fan S, Jiang M, Shen Z, The role of visual attention in sentiment prediction[C]\/\/Proceedings of the 25th ACM international conference on Multimedia. 2017: 217-225."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2018.05.104"},{"issue":"5","key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","first-page":"1358","DOI":"10.1109\/TMM.2019.2939744","article-title":"Weakly supervised coupled networks for visual sentiment classification and detection[J]","volume":"22","author":"She D","year":"2019","unstructured":"She D , Yang J , Cheng M M , Wscnet : Weakly supervised coupled networks for visual sentiment classification and detection[J] . IEEE Transactions on Multimedia , 2019 , 22 ( 5 ): 1358 - 1371 . She D, Yang J, Cheng M M, Wscnet: Weakly supervised coupled networks for visual sentiment classification and detection[J]. IEEE Transactions on Multimedia, 2019, 22(5): 1358-1371.","journal-title":"IEEE Transactions on Multimedia"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"crossref","first-page":"2033","DOI":"10.1109\/TMM.2020.3007352","article-title":"Weakly supervised emotion intensity prediction for recognition of emotions in images[J]","volume":"23","author":"Zhang H","year":"2020","unstructured":"Zhang H , Xu M . Weakly supervised emotion intensity prediction for recognition of emotions in images[J] . IEEE Transactions on Multimedia , 2020 , 23 : 2033 - 2044 . Zhang H, Xu M. Weakly supervised emotion intensity prediction for recognition of emotions in images[J]. IEEE Transactions on Multimedia, 2020, 23: 2033-2044.","journal-title":"IEEE Transactions on Multimedia"},{"key":"e_1_3_2_1_12_1","volume-title":"Attention is all you need[J]. Advances in neural information processing systems","author":"Vaswani A","year":"2017","unstructured":"Vaswani A , Shazeer N , Parmar N , Attention is all you need[J]. Advances in neural information processing systems , 2017 , 30. Vaswani A, Shazeer N, Parmar N, Attention is all you need[J]. Advances in neural information processing systems, 2017, 30."},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Wang X Girshick R Gupta A Non-local neural networks[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 7794-7803.  Wang X Girshick R Gupta A Non-local neural networks[C]\/\/Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 7794-7803.","DOI":"10.1109\/CVPR.2018.00813"},{"key":"e_1_3_2_1_14_1","volume-title":"An image is worth 16x16 words: Transformers for image recognition at scale[J]. arXiv preprint arXiv:2010.11929","author":"Dosovitskiy A","year":"2020","unstructured":"Dosovitskiy A , Beyer L , Kolesnikov A , An image is worth 16x16 words: Transformers for image recognition at scale[J]. arXiv preprint arXiv:2010.11929 , 2020 . Dosovitskiy A, Beyer L, Kolesnikov A, An image is worth 16x16 words: Transformers for image recognition at scale[J]. arXiv preprint arXiv:2010.11929, 2020."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Srinivas A Lin T Y Parmar N Bottleneck transformers for visual recognition[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2021: 16519-16529.  Srinivas A Lin T Y Parmar N Bottleneck transformers for visual recognition[C]\/\/Proceedings of the IEEE\/CVF conference on computer vision and pattern recognition. 2021: 16519-16529.","DOI":"10.1109\/CVPR46437.2021.01625"},{"key":"e_1_3_2_1_16_1","volume-title":"Transformers in vision: A survey[J]. ACM computing surveys (CSUR)","author":"Khan S","year":"2022","unstructured":"Khan S , Naseer M , Hayat M , Transformers in vision: A survey[J]. ACM computing surveys (CSUR) , 2022 , 54(10s): 1-41. Khan S, Naseer M, Hayat M, Transformers in vision: A survey[J]. ACM computing surveys (CSUR), 2022, 54(10s): 1-41."},{"key":"e_1_3_2_1_17_1","volume-title":"Robust image sentiment analysis using progressively trained and domain transferred deep networks[C]\/\/Twenty-ninth AAAI conference on artificial intelligence","author":"You Q","year":"2015","unstructured":"You Q , Luo J , Jin H , Robust image sentiment analysis using progressively trained and domain transferred deep networks[C]\/\/Twenty-ninth AAAI conference on artificial intelligence . 2015 . You Q, Luo J, Jin H, Robust image sentiment analysis using progressively trained and domain transferred deep networks[C]\/\/Twenty-ninth AAAI conference on artificial intelligence. 2015."},{"volume-title":"Large-scale visual sentiment ontology and detectors using adjective noun pairs[C]\/\/Proceedings of the 21st ACM international conference on Multimedia. 2013: 223-232","author":"Borth D","key":"e_1_3_2_1_18_1","unstructured":"Borth D , Ji R , Chen T , Large-scale visual sentiment ontology and detectors using adjective noun pairs[C]\/\/Proceedings of the 21st ACM international conference on Multimedia. 2013: 223-232 . Borth D, Ji R, Chen T, Large-scale visual sentiment ontology and detectors using adjective noun pairs[C]\/\/Proceedings of the 21st ACM international conference on Multimedia. 2013: 223-232."},{"key":"e_1_3_2_1_19_1","volume-title":"Where do emotions come from? predicting the emotion stimuli map[C]\/\/2016 IEEE international conference on image processing (ICIP)","author":"Peng K C","year":"2016","unstructured":"Peng K C , Sadovnik A , Gallagher A , Where do emotions come from? predicting the emotion stimuli map[C]\/\/2016 IEEE international conference on image processing (ICIP) . IEEE , 2016 : 614-618. Peng K C, Sadovnik A, Gallagher A, Where do emotions come from? predicting the emotion stimuli map[C]\/\/2016 IEEE international conference on image processing (ICIP). IEEE, 2016: 614-618."},{"key":"e_1_3_2_1_20_1","first-page":"2837","article-title":"Image sentiment analysis using latent correlations among visual, textual, and sentiment views[C]\/\/2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"2016","author":"Katsurai M","unstructured":"Katsurai M , Satoh S . Image sentiment analysis using latent correlations among visual, textual, and sentiment views[C]\/\/2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . IEEE , 2016 : 2837 - 2841 . Katsurai M, Satoh S. Image sentiment analysis using latent correlations among visual, textual, and sentiment views[C]\/\/2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2016: 2837-2841.","journal-title":"IEEE"},{"key":"e_1_3_2_1_21_1","volume-title":"Building a large scale dataset for image emotion recognition: The fine print and the benchmark[C]\/\/Proceedings of the AAAI conference on artificial intelligence","author":"You Q","year":"2016","unstructured":"You Q , Luo J , Jin H , Building a large scale dataset for image emotion recognition: The fine print and the benchmark[C]\/\/Proceedings of the AAAI conference on artificial intelligence . 2016 , 30(1). You Q, Luo J, Jin H, Building a large scale dataset for image emotion recognition: The fine print and the benchmark[C]\/\/Proceedings of the AAAI conference on artificial intelligence. 2016, 30(1)."},{"volume-title":"large-scale ontology and classifiers for detecting sentiment and emotions in visual content[C]\/\/Proceedings of the 21st ACM international conference on Multimedia. 2013: 459-460","author":"Borth D","key":"e_1_3_2_1_22_1","unstructured":"Borth D , Chen T , Ji R , Sentibank : large-scale ontology and classifiers for detecting sentiment and emotions in visual content[C]\/\/Proceedings of the 21st ACM international conference on Multimedia. 2013: 459-460 . Borth D, Chen T, Ji R, Sentibank: large-scale ontology and classifiers for detecting sentiment and emotions in visual content[C]\/\/Proceedings of the 21st ACM international conference on Multimedia. 2013: 459-460."},{"key":"e_1_3_2_1_23_1","volume-title":"Darrell T","author":"Chen T","year":"2014","unstructured":"Chen T , Borth D , Darrell T , Deepsentibank : Visual sentiment concept classification with deep convolutional neural networks[J]. arXiv preprint arXiv:1410.8586, 2014 . Chen T, Borth D, Darrell T, Deepsentibank: Visual sentiment concept classification with deep convolutional neural networks[J]. arXiv preprint arXiv:1410.8586, 2014."},{"key":"e_1_3_2_1_24_1","first-page":"1","article-title":"Learning multi-level representations for affective image recognition[J]","volume":"2022","author":"Zhang H","unstructured":"Zhang H , Xu D , Luo G , Learning multi-level representations for affective image recognition[J] . Neural Computing and Applications , 2022 : 1 - 14 . Zhang H, Xu D, Luo G, Learning multi-level representations for affective image recognition[J]. Neural Computing and Applications, 2022: 1-14.","journal-title":"Neural Computing and Applications"},{"key":"e_1_3_2_1_25_1","volume-title":"A multi-attentive pyramidal model for visual sentiment analysis[C]\/\/2019 international joint conference on neural networks (IJCNN)","author":"He X","year":"2019","unstructured":"He X , Zhang H , Li N , A multi-attentive pyramidal model for visual sentiment analysis[C]\/\/2019 international joint conference on neural networks (IJCNN) . IEEE , 2019 : 1-8. He X, Zhang H, Li N, A multi-attentive pyramidal model for visual sentiment analysis[C]\/\/2019 international joint conference on neural networks (IJCNN). IEEE, 2019: 1-8."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"e_1_3_2_1_27_1","volume-title":"Very deep convolutional networks for large-scale image recognition[J]. arXiv preprint arXiv:1409.1556","author":"Simonyan K","year":"2014","unstructured":"Simonyan K , Zisserman A. Very deep convolutional networks for large-scale image recognition[J]. arXiv preprint arXiv:1409.1556 , 2014 . Simonyan K, Zisserman A. Very deep convolutional networks for large-scale image recognition[J]. arXiv preprint arXiv:1409.1556, 2014."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.6.1.39-43"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"publisher","DOI":"10.18178\/joig.3.1.1-5"}],"event":{"name":"ICIGP 2023: 2023 The 6th International Conference on Image and Graphics Processing","acronym":"ICIGP 2023","location":"Chongqing China"},"container-title":["Proceedings of the 2023 6th International Conference on Image and Graphics Processing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582649.3582678","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3582649.3582678","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T18:09:15Z","timestamp":1750183755000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3582649.3582678"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,1,6]]},"references-count":29,"alternative-id":["10.1145\/3582649.3582678","10.1145\/3582649"],"URL":"https:\/\/doi.org\/10.1145\/3582649.3582678","relation":{},"subject":[],"published":{"date-parts":[[2023,1,6]]},"assertion":[{"value":"2023-04-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}