{"id":"W2012075820","doi":"10.1109/icip.2014.7025230","title":"Image seam carving using depth assisted saliency map","year":2014,"lang":"en","type":"article","venue":"","topic":"Visual Attention and Saliency Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Seam carving; Computer vision; Artificial intelligence; Computer science; Pixel; Depth map; Retargeting; Energy (signal processing); Distortion (music); Image warping; Image (mathematics); Visualization; Salient; Image resolution; Mathematics","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002509367,0.0007118172,0.0006031972,0.001563372,0.0002949203,0.0005539939,0.0007789941,0.0004577953,0.001726704],"category_scores_gemma":[0.0007992777,0.0003339635,0.0005934052,0.0005921323,0.0002790497,0.0006621772,0.0008393155,0.0004086886,0.000294106],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004491354,"about_ca_system_score_gemma":0.0003798297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002235553,"about_ca_topic_score_gemma":0.002478665,"domain_scores_codex":[0.9998426,0.00001221052,0.000005052881,0.00003331431,0.0000783668,0.00002852365],"domain_scores_gemma":[0.9997432,0.00005339666,0.00003096025,0.00003813002,0.0001009512,0.00003342122],"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":[0.0003666208,0.0001276343,0.00105029,0.0002164251,0.0000871079,0.0002869967,0.000264134,0.04074118,0.2440189,0.003162144,0.002702137,0.7069765],"study_design_scores_gemma":[0.00006050525,0.0002681978,0.004684834,0.00001827178,0.00006808065,0.0007035912,0.0001070537,0.8585822,0.1251354,0.005521303,0.004798404,0.00005228733],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05776614,0.0003124193,0.9384002,0.00009098842,0.0000527289,0.00009916632,0.00005052025,0.001733323,0.001494555],"genre_scores_gemma":[0.5834571,0.0002587466,0.4131737,0.00008819503,0.0000550352,0.00006850065,0.0001267403,0.0002524525,0.002519649],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002235553,"threshold_uncertainty_score":0.005776465,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03139504284544288,"score_gpt":0.2987732301815527,"score_spread":0.2673781873361099,"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."}}