{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003921615,0.00005441424,0.00005966326,0.00007811628,0.00005946335,0.00007969626,0.0001396178,0.00003350219,0.00002516656],"category_scores_gemma":[0.00003374512,0.00005053837,0.00002644491,0.0002306034,0.000007712391,0.0004423901,0.0000384637,0.00005168457,0.0001017323],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002564287,"about_ca_system_score_gemma":0.000002919178,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004549651,"about_ca_topic_score_gemma":0.00001902778,"domain_scores_codex":[0.9993041,0.0000794957,0.0001634715,0.0002011737,0.0001319291,0.0001198336],"domain_scores_gemma":[0.9997557,0.00001892745,0.00004707229,0.0001236568,0.00002876365,0.00002589153],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001669642,0.0003371244,0.07800506,0.0000482106,0.000009913679,0.000004120068,0.0003016785,0.0005954754,0.54126,0.1437843,0.01021471,0.2254227],"study_design_scores_gemma":[0.0004355319,0.0001108537,0.1839747,0.00001337831,0.000001617682,0.000005169454,0.00003204124,0.7980348,0.01137884,0.002947975,0.002887043,0.0001781375],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2696707,0.000006305792,0.7235382,0.0005826877,0.0001866793,0.00006232261,1.059663e-7,0.0001298695,0.005823081],"genre_scores_gemma":[0.9928038,0.000001899185,0.005664162,0.000178643,0.00001909277,0.000006086383,0.000004253293,0.000002956304,0.001319141],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7974393,"threshold_uncertainty_score":0.2060895,"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."}}