{"id":"https://openalex.org/W2946936067","doi":"https://doi.org/10.1145/3317960.3321614","title":"Quantitative visual attention prediction on webpage images using multiclass SVM","display_name":"Quantitative visual attention prediction on webpage images using multiclass SVM","publication_year":2019,"publication_date":"2019-06-25","ids":{"openalex":"https://openalex.org/W2946936067","doi":"https://doi.org/10.1145/3317960.3321614","mag":"2946936067"},"language":"en","primary_location":{"id":"doi:10.1145/3317960.3321614","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3317960.3321614","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3317960.3321614","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026359143","display_name":"Sandeep Vidyapu","orcid":"https://orcid.org/0000-0003-3595-5221"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Sandeep Vidyapu","raw_affiliation_strings":["IIT Guwahati"],"affiliations":[{"raw_affiliation_string":"IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043100023","display_name":"Vijaya Saradhi Vedula","orcid":"https://orcid.org/0000-0002-7856-5322"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Vijaya Saradhi Vedula","raw_affiliation_strings":["IIT Guwahati"],"affiliations":[{"raw_affiliation_string":"IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011223914","display_name":"Samit Bhattacharya","orcid":"https://orcid.org/0000-0001-9569-7207"},"institutions":[{"id":"https://openalex.org/I1317621060","display_name":"Indian Institute of Technology Guwahati","ror":"https://ror.org/0022nd079","country_code":"IN","type":"education","lineage":["https://openalex.org/I1317621060"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Samit Bhattacharya","raw_affiliation_strings":["IIT Guwahati"],"affiliations":[{"raw_affiliation_string":"IIT Guwahati","institution_ids":["https://openalex.org/I1317621060"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5026359143"],"corresponding_institution_ids":["https://openalex.org/I1317621060"],"apc_list":null,"apc_paid":null,"fwci":0.7086,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.74455306,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9998999834060669,"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":0.9998999834060669,"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/T11707","display_name":"Gaze Tracking and Assistive Technology","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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/T11165","display_name":"Image and Video Quality Assessment","score":0.9904999732971191,"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/support-vector-machine","display_name":"Support vector machine","score":0.7733721733093262},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961615085601807},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6354705691337585},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5438476204872131},{"id":"https://openalex.org/keywords/web-page","display_name":"Web page","score":0.4613502025604248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41906508803367615},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3712804317474365},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07923927903175354}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7733721733093262},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961615085601807},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6354705691337585},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5438476204872131},{"id":"https://openalex.org/C21959979","wikidata":"https://www.wikidata.org/wiki/Q36774","display_name":"Web page","level":2,"score":0.4613502025604248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41906508803367615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3712804317474365},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07923927903175354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3317960.3321614","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3317960.3321614","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3317960.3321614","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3317960.3321614","pdf_url":null,"source":null,"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W938601501","https://openalex.org/W1546823994","https://openalex.org/W1570221294","https://openalex.org/W1655654231","https://openalex.org/W1966909626","https://openalex.org/W1970402822","https://openalex.org/W1999649575","https://openalex.org/W2019658628","https://openalex.org/W2034909568","https://openalex.org/W2037802158","https://openalex.org/W2069718239","https://openalex.org/W2085288035","https://openalex.org/W2086087329","https://openalex.org/W2119821739","https://openalex.org/W2128272608","https://openalex.org/W2147156975","https://openalex.org/W2153635508","https://openalex.org/W2164084182","https://openalex.org/W2172000360","https://openalex.org/W2186075823","https://openalex.org/W2262607787","https://openalex.org/W2327345026","https://openalex.org/W2336238130","https://openalex.org/W2509231440","https://openalex.org/W2598374610","https://openalex.org/W2604521415","https://openalex.org/W2622335352","https://openalex.org/W2754566651","https://openalex.org/W2793945444","https://openalex.org/W3163638146","https://openalex.org/W4230081167"],"related_works":["https://openalex.org/W4205958290","https://openalex.org/W2099369243","https://openalex.org/W2041399278","https://openalex.org/W2345184372","https://openalex.org/W4223656335","https://openalex.org/W3194539120","https://openalex.org/W2136184105","https://openalex.org/W2187500075","https://openalex.org/W2163073107","https://openalex.org/W2595988085"],"abstract_inverted_index":{"Webpage":[0],"images---image":[1],"elements":[2],"on":[3,13,43,48,63,108],"a":[4,25,84],"webpage---are":[5],"prominent":[6],"to":[7,88],"draw":[8],"user":[9],"attention.":[10,81],"Modeling":[11],"attention":[12,28,41,46,93],"webpage":[14,32,96],"images":[15,36],"helps":[16],"in":[17],"their":[18],"synthesis":[19],"and":[20,61,79,122,130,139],"rendering.":[21],"This":[22],"paper":[23],"presents":[24],"visual":[26,40,54,77,92],"feature-based":[27],"prediction":[29],"model":[30,116,134],"for":[31,94],"images.":[33,97],"Firstly,":[34],"fixated":[35,51],"were":[37,56],"assigned":[38],"quantitative":[39,91],"based":[42],"users'":[44],"sequential":[45],"allocation":[47],"webpages.":[49,65],"Subsequently,":[50],"images'":[52],"intrinsic":[53],"features":[55,78],"extracted":[57],"along":[58],"with":[59,112],"position":[60,129],"size":[62,131],"respective":[64],"A":[66],"multiclass":[67],"support":[68],"vector":[69],"machine":[70],"(multiclass":[71],"SVM)":[72],"was":[73,86,101],"learned":[74],"using":[75],"the":[76,90,127],"associated":[80],"In":[82],"tandem,":[83],"majority-voting-scheme":[85],"employed":[87],"predict":[89],"test":[95],"The":[98],"proposed":[99],"approach":[100],"analyzed":[102],"through":[103],"an":[104],"eye-tracking":[105],"experiment":[106],"conducted":[107],"36":[109],"real-world":[110],"webpages":[111],"42":[113],"participants.":[114],"Our":[115],"outperforms":[117],"(average":[118,135],"accuracy":[119,136],"of":[120,125,137,142],"91.64%":[121],"micro":[123,140],"F1-score":[124,141],"79.1%)":[126],"existing":[128],"constrained":[132],"regression":[133],"73.92%":[138],"34.80%).":[143]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}