{"id":"W2052285567","doi":"10.1109/icmew.2013.6618333","title":"Still visualization of object motion in compressed video","year":2013,"lang":"en","type":"article","venue":"","topic":"Video Analysis and Summarization","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Sprite (computer graphics); Computer vision; Computer science; Artificial intelligence; Motion vector; Pixel; Visualization; Quarter-pixel motion; Automatic summarization; Motion compensation; Computer graphics (images); Image (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":[0.0001720693,0.0006563406,0.0003220384,0.001426752,0.00017703,0.0006570275,0.0003978084,0.0003305719,0.002024737],"category_scores_gemma":[0.0008392472,0.0001810396,0.0002309755,0.0008248467,0.0002207522,0.000902365,0.0004826657,0.0004712474,0.0003316911],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002840073,"about_ca_system_score_gemma":0.0002471567,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002134507,"about_ca_topic_score_gemma":0.002290789,"domain_scores_codex":[0.9998807,0.0000192438,0.000004970356,0.00002095991,0.00005941771,0.00001480379],"domain_scores_gemma":[0.999698,0.00008687645,0.00004481764,0.00003881652,0.000102045,0.00002947032],"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":[0.0006945781,0.00007011381,0.001431954,0.0003936134,0.00007353437,0.00058233,0.0004153455,0.0405128,0.6197315,0.005354353,0.004069184,0.3266707],"study_design_scores_gemma":[0.00005758134,0.0002988259,0.008761165,0.00007099932,0.00006992591,0.001115773,0.0002929326,0.7654809,0.2062747,0.004619331,0.01288712,0.00007075597],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1169199,0.0008129263,0.875479,0.0003060504,0.00007379474,0.00008217416,0.0008254981,0.003251713,0.002248947],"genre_scores_gemma":[0.5275631,0.001604891,0.4661635,0.00008982736,0.0001299857,0.00007040492,0.001546205,0.0003498637,0.002482278],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002134507,"threshold_uncertainty_score":0.006773412,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01176441111400402,"score_gpt":0.2432694852097145,"score_spread":0.2315050740957105,"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."}}