{"id":"W377503036","doi":"10.1109/mmul.2015.59","title":"Visual Attention Retargeting","year":2015,"lang":"en","type":"article","venue":"IEEE Multimedia","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":22,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Retargeting; Seam carving; Computer science; Artificial intelligence; Computer vision; Visualization; Visual attention; Domain (mathematical analysis); Human–computer interaction; Image (mathematics); Psychology; Perception","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0004397297,0.00009753352,0.00009658346,0.0001007429,0.0000777149,0.00009713951,0.0002737833,0.00006070245,0.00001546636],"category_scores_gemma":[0.00009837618,0.0000913536,0.00006179015,0.0002979044,0.00002553363,0.0004974146,0.00005301643,0.0001082878,0.0009905483],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000503468,"about_ca_system_score_gemma":0.00003574337,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002618834,"about_ca_topic_score_gemma":0.000005582756,"domain_scores_codex":[0.9988779,0.00007992408,0.0001962048,0.0002796376,0.0003501681,0.0002161412],"domain_scores_gemma":[0.9993939,0.00002559513,0.00007411988,0.0001960004,0.0001316159,0.0001788021],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00006382322,0.0008458298,0.02352387,0.00004382464,0.000074036,0.0001041353,0.006081947,0.0005602799,0.1770239,0.003332317,0.02841306,0.759933],"study_design_scores_gemma":[0.00105351,0.0002098535,0.01063609,0.00001757401,0.000006852081,0.00002599835,0.0001305938,0.9686001,0.01292729,0.0007954987,0.005297929,0.0002987194],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.39737,0.00004679045,0.5926964,0.0004882026,0.00514043,0.0001557967,6.759844e-7,0.0005956611,0.003506039],"genre_scores_gemma":[0.9796172,0.000002067439,0.01913014,0.0001556485,0.0002525114,0.00001011348,0.000003740999,0.000007787621,0.0008207294],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9680398,"threshold_uncertainty_score":0.9997873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04202174934340255,"score_gpt":0.3064269274012328,"score_spread":0.2644051780578303,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}