{"id":"W2165892547","doi":"10.1109/ism.2009.54","title":"Quality Assessment of Video Content for HD IPTV Applications","year":2009,"lang":"en","type":"article","venue":"","topic":"Image and Video Quality Assessment","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Communications Research Centre Canada","funders":"","keywords":"IPTV; Computer science; Video quality; Testbed; PEVQ; Mean opinion score; Multimedia; Quality of experience; Packet loss; Internet Protocol; Subjective video quality; High-definition television; The Internet; Quality (philosophy); Quality of service; Broadband networks; Network packet; Broadband; Computer network; Telecommunications; Artificial intelligence; Image quality; World Wide Web; Engineering","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":[0.0006897782,0.0002933924,0.0003070819,0.0009516013,0.0002028334,0.0008034047,0.0003073543,0.0003086115,0.001305234],"category_scores_gemma":[0.002595792,0.000115463,0.0002043551,0.0006967225,0.0001748723,0.0004554409,0.0003139925,0.000204072,0.0003001581],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000356254,"about_ca_system_score_gemma":0.0001201519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001262839,"about_ca_topic_score_gemma":0.0009158568,"domain_scores_codex":[0.9992803,0.0001266148,0.00003445393,0.00005896107,0.0004652758,0.00003444696],"domain_scores_gemma":[0.9985311,0.0003376951,0.0002050756,0.00008799399,0.0007794776,0.00005867161],"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":[0.0009654035,0.0001622454,0.02776053,0.0004040323,0.00006628771,0.0002785978,0.0003838446,0.01139235,0.72844,0.0008893603,0.001223045,0.2280342],"study_design_scores_gemma":[0.00007487216,0.002161893,0.1638951,0.00007665918,0.0001923699,0.001221872,0.0007910765,0.2053801,0.6172976,0.001238672,0.007561946,0.0001078602],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.762341,0.001198325,0.2291894,0.000104965,0.00006443371,0.0002681033,0.0006010899,0.0005244234,0.005708208],"genre_scores_gemma":[0.9634309,0.0005228686,0.03359268,0.00003483369,0.00002867627,0.00005052261,0.0005504023,0.00006345603,0.001725704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.001305234,"threshold_uncertainty_score":0.004366398,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1530835792585834,"score_gpt":0.4315905462858129,"score_spread":0.2785069670272295,"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."}}