{"id":"https://openalex.org/W3205730621","doi":"https://doi.org/10.1109/tmm.2021.3118208","title":"Color Enhanced Cross Correlation Net for Image Sentiment Analysis","display_name":"Color Enhanced Cross Correlation Net for Image Sentiment Analysis","publication_year":2021,"publication_date":"2021-10-11","ids":{"openalex":"https://openalex.org/W3205730621","doi":"https://doi.org/10.1109/tmm.2021.3118208","mag":"3205730621"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2021.3118208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3118208","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047524241","display_name":"Shulan Ruan","orcid":"https://orcid.org/0000-0001-7466-8909"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shulan Ruan","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Computer Science and Technology, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: slruan@mail.ustc.edu.cn)"],"raw_orcid":"https://orcid.org/0000-0001-7466-8909","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: slruan@mail.ustc.edu.cn)","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342310","display_name":"Kun Zhang","orcid":"https://orcid.org/0000-0002-0743-9003"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kun Zhang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China","School of Computer and Information, Hefei University of Technology, 12513 Hefei, Anhui, China, (e-mail: zhang1028kun@gmail.com)"],"raw_orcid":"https://orcid.org/0000-0002-0743-9003","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, 12513 Hefei, Anhui, China, (e-mail: zhang1028kun@gmail.com)","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033706423","display_name":"Le Wu","orcid":"https://orcid.org/0000-0003-4556-0581"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Wu","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China","School of Computer and Information, Hefei University of Technology, 12513 Hefei, China, 230009 (e-mail: lewu.ustc@gmail.com)"],"raw_orcid":"https://orcid.org/0000-0003-4556-0581","affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, 12513 Hefei, China, 230009 (e-mail: lewu.ustc@gmail.com)","institution_ids":["https://openalex.org/I16365422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025292786","display_name":"Tong Xu","orcid":"https://orcid.org/0000-0003-4246-5386"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tong Xu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Computer Science and Technology, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: tongxu@ustc.edu.cn)"],"raw_orcid":"https://orcid.org/0000-0003-4246-5386","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: tongxu@ustc.edu.cn)","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453156","display_name":"Qi Liu","orcid":"https://orcid.org/0000-0001-6956-5550"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Liu","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Science and Technology, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: qiliuql@ustc.edu.cn)"],"raw_orcid":"https://orcid.org/0000-0001-6956-5550","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Science and Technology, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: qiliuql@ustc.edu.cn)","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048237545","display_name":"Enhong Chen","orcid":"https://orcid.org/0000-0002-4835-4102"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Enhong Chen","raw_affiliation_strings":["Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","School of Computer Science and Technology, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: cheneh@ustc.edu.cn)"],"raw_orcid":"https://orcid.org/0000-0002-4835-4102","affiliations":[{"raw_affiliation_string":"Anhui Province Key Laboratory of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"School of Computer Science and Technology, University of Science and Technology of China, 12652 Hefei, Anhui, China, (e-mail: cheneh@ustc.edu.cn)","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.907,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.86887674,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"26","issue":null,"first_page":"4097","last_page":"4109"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9894999861717224,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.98089998960495,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8470190763473511},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6682724952697754},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6122817993164062},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5621138215065002},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5478023886680603},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5434324145317078},{"id":"https://openalex.org/keywords/sentiment-analysis","display_name":"Sentiment analysis","score":0.5257899761199951},{"id":"https://openalex.org/keywords/color-image","display_name":"Color image","score":0.4747103750705719},{"id":"https://openalex.org/keywords/correlation","display_name":"Correlation","score":0.47398439049720764},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.42444437742233276},{"id":"https://openalex.org/keywords/image-processing","display_name":"Image processing","score":0.352793425321579},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2808287739753723},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10403212904930115}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8470190763473511},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6682724952697754},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6122817993164062},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5621138215065002},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5478023886680603},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5434324145317078},{"id":"https://openalex.org/C66402592","wikidata":"https://www.wikidata.org/wiki/Q2271421","display_name":"Sentiment analysis","level":2,"score":0.5257899761199951},{"id":"https://openalex.org/C142616399","wikidata":"https://www.wikidata.org/wiki/Q5148604","display_name":"Color image","level":4,"score":0.4747103750705719},{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.47398439049720764},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.42444437742233276},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.352793425321579},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2808287739753723},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10403212904930115},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2021.3118208","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2021.3118208","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1064288964","display_name":null,"funder_award_id":"61727809","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G1443942613","display_name":"\u5927\u6570\u636e\u9a71\u52a8\u7684\u4f01\u4e1a\u5bb6\u6587\u5316\u4e0e\u5185\u90e8\u63a7\u5236\u7814\u7a76\uff1a\u4f5c\u7528\u673a\u5236\u53ca\u7ecf\u6d4e\u540e\u679c","funder_award_id":"71802068","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6535345558","display_name":"\u9762\u5411\u793e\u4ea4\u591a\u5a92\u4f53\u7684\u4e2a\u6027\u5316\u63a8\u8350\u7b97\u6cd5\u7814\u7a76","funder_award_id":"61972125","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8420102146","display_name":null,"funder_award_id":"62006066","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326873","display_name":"National Laboratory of Pattern Recognition","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":66,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1922126009","https://openalex.org/W1930223417","https://openalex.org/W1969294188","https://openalex.org/W1990574563","https://openalex.org/W2003856922","https://openalex.org/W2011011931","https://openalex.org/W2033926602","https://openalex.org/W2040548394","https://openalex.org/W2060658149","https://openalex.org/W2074356411","https://openalex.org/W2075456404","https://openalex.org/W2085940040","https://openalex.org/W2097726431","https://openalex.org/W2108598243","https://openalex.org/W2110700950","https://openalex.org/W2118526556","https://openalex.org/W2153049579","https://openalex.org/W2171939141","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2293236424","https://openalex.org/W2318177504","https://openalex.org/W2347880541","https://openalex.org/W2403015048","https://openalex.org/W2517991028","https://openalex.org/W2570944269","https://openalex.org/W2619256806","https://openalex.org/W2763922629","https://openalex.org/W2766251611","https://openalex.org/W2770602608","https://openalex.org/W2790514085","https://openalex.org/W2793174787","https://openalex.org/W2793857798","https://openalex.org/W2798450502","https://openalex.org/W2805121932","https://openalex.org/W2905467555","https://openalex.org/W2910191085","https://openalex.org/W2922318995","https://openalex.org/W2935600691","https://openalex.org/W2955620508","https://openalex.org/W2958208506","https://openalex.org/W2963224980","https://openalex.org/W2963494756","https://openalex.org/W2963992782","https://openalex.org/W2964081807","https://openalex.org/W2964167669","https://openalex.org/W2965597639","https://openalex.org/W2971534274","https://openalex.org/W2971765953","https://openalex.org/W2972724570","https://openalex.org/W2981578638","https://openalex.org/W2981963155","https://openalex.org/W2981994675","https://openalex.org/W2989684529","https://openalex.org/W2997357767","https://openalex.org/W2998884477","https://openalex.org/W3003362227","https://openalex.org/W3032532364","https://openalex.org/W3035497134","https://openalex.org/W3102488888","https://openalex.org/W3103651098","https://openalex.org/W4319308497","https://openalex.org/W4385245566","https://openalex.org/W6637373629","https://openalex.org/W6731811539"],"related_works":["https://openalex.org/W2548633793","https://openalex.org/W3013279174","https://openalex.org/W2941935829","https://openalex.org/W2596247554","https://openalex.org/W3132372214","https://openalex.org/W4224284088","https://openalex.org/W4286571989","https://openalex.org/W2765903680","https://openalex.org/W4317653575","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Automatic":[0],"analysis":[1,111],"of":[2,13,42,67,75,81,178,194,215],"image":[3,31,43,52,76,109,198],"sentiment":[4,35,53,77,110,176,199],"has":[5,46],"gained":[6],"considerable":[7],"attention":[8,169],"with":[9,168],"the":[10,40,65,72,160,211],"increasing":[11],"throughput":[12],"user-generated":[14],"visual":[15],"contents":[16,116],"online.":[17],"Recently,":[18],"researchers":[19],"generally":[20],"tend":[21],"to":[22,29,134,141,158],"design":[23],"different":[24,88],"Convolutional":[25],"Neural":[26],"Networks":[27],"(CNNs)":[28],"extract":[30,135],"content":[32,68,82,136,163,179],"features":[33,137,144,164,167],"for":[34,51,108,196],"analysis.":[36,200],"However,":[37],"they":[38],"underestimated":[39],"importance":[41],"color,":[44],"which":[45,175],"been":[47],"proved":[48],"very":[49],"crucial":[50],"expressing":[54,177],"by":[55,185],"psychology":[56],"and":[57,69,83,117,138,165,171,180,206,213],"art":[58],"theory.":[59],"Moreover,":[60],"we":[61,96,128,150,189],"further":[62],"observe":[63],"that":[64,91,112],"coordination":[66],"color":[70,84,139,143,147,166,181],"is":[71],"main":[73],"form":[74],"expressing.":[78],"Different":[79],"combinations":[80],"could":[85],"express":[86],"extremely":[87],"sentiments.":[89],"To":[90],"end,":[92],"in":[93,174],"this":[94],"paper,":[95],"propose":[97,151],"a":[98,105,131,152],"Color":[99],"Enhanced":[100],"Cross":[101,154],"Correlation":[102,155],"Net":[103],"(CECCN),":[104],"novel":[106,153],"architecture":[107],"not":[113],"only":[114],"leverages":[115],"colors":[118],"simultaneously,":[119],"but":[120],"also":[121],"takes":[122],"their":[123],"correlations":[124,161],"into":[125],"consideration.":[126],"Specifically,":[127],"first":[129],"use":[130],"pre-trained":[132],"CNN":[133],"moment":[140],"collect":[142],"from":[145],"multiple":[146],"spaces.":[148],"Then,":[149],"(CC)":[156],"method":[157],"model":[159],"between":[162],"mechanism":[170],"sequence":[172],"convolution,":[173],"can":[182],"be":[183],"enhanced":[184],"each":[186],"other.":[187],"Finally,":[188],"integrate":[190],"these":[191],"two":[192,204],"types":[193],"information":[195],"better":[197],"Extensive":[201],"experiments":[202],"on":[203],"popular":[205],"well-studied":[207],"benchmark":[208],"datasets":[209],"demonstrate":[210],"superiority":[212],"rationality":[214],"our":[216],"proposed":[217],"CECCN.":[218]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}