{"id":"W2163707455","doi":"10.1145/2662996.2663009","title":"Attention Retargeting by Color Manipulation in Images","year":2014,"lang":"en","type":"article","venue":"","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Natural Sciences and Engineering Research Council of Canada","keywords":"Hue; Retargeting; Artificial intelligence; Naturalness; Computer vision; Computer science; Set (abstract data type); Rotation (mathematics); Eye tracking; Color space; Seam carving; Image (mathematics)","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002867726,0.0005055289,0.0004558136,0.0005808488,0.0002431176,0.0005004606,0.0006453644,0.000369656,0.001340114],"category_scores_gemma":[0.001918176,0.0002072565,0.0004155783,0.0003516797,0.0003865772,0.0006490728,0.0005864864,0.0003961767,0.0002324134],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004121941,"about_ca_system_score_gemma":0.0002297362,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002503113,"about_ca_topic_score_gemma":0.002637194,"domain_scores_codex":[0.9997848,0.00003922672,0.000007747838,0.00008201438,0.00005260361,0.00003364574],"domain_scores_gemma":[0.9995431,0.0001898283,0.00006592169,0.00008485746,0.00008557529,0.00003080652],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0004345571,0.00008927687,0.001066419,0.0002060798,0.00006343569,0.0002747536,0.0005017784,0.01556928,0.5909864,0.002518567,0.001546972,0.3867425],"study_design_scores_gemma":[0.0001313694,0.0009364276,0.0180824,0.00004758684,0.0002279166,0.001400725,0.000273638,0.4233561,0.5285419,0.01080655,0.01608219,0.000113349],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3585956,0.001465501,0.6287053,0.000262816,0.0001702483,0.000178388,0.00008603073,0.003567611,0.006968486],"genre_scores_gemma":[0.8507732,0.0004121317,0.145823,0.0001998014,0.00006788442,0.00005367836,0.00006232158,0.0002524958,0.002355364],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002503113,"threshold_uncertainty_score":0.004977047,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01015003504774676,"score_gpt":0.2474976023278423,"score_spread":0.2373475672800955,"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."}}