{"id":"W2539949167","doi":"10.1109/mascots.2014.50","title":"An Anatomy of SVC for Full HD Video Streaming","year":2014,"lang":"en","type":"article","venue":"","topic":"Video Coding and Compression Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Scalable Video Coding; Computer science; Video quality; Scalability; Computer network; Multimedia; Bitstream; Quality of service; Mobile device; Coding (social sciences); Video processing; Overhead (engineering); Codec; Real-time computing; Decoding methods; Computer hardware; Telecommunications; Operating system","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":[0.0009466723,0.0005629666,0.0004433613,0.001822187,0.0005385217,0.001458874,0.0007799181,0.001343905,0.00399221],"category_scores_gemma":[0.00258582,0.0003016864,0.0003329536,0.001869507,0.0009128886,0.001423805,0.0007695144,0.002788213,0.002749386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005382018,"about_ca_system_score_gemma":0.0009577997,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002360644,"about_ca_topic_score_gemma":0.001544335,"domain_scores_codex":[0.9985425,0.0001961225,0.00007851384,0.000160626,0.0009570054,0.00006507983],"domain_scores_gemma":[0.9989028,0.0003591332,0.00006752508,0.0001943337,0.0004335164,0.0000426914],"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":[0.0002063477,0.0001426679,0.001185194,0.0004641855,0.0000528768,0.0005915839,0.0003445775,0.01565293,0.05256875,0.1653113,0.02792874,0.7355508],"study_design_scores_gemma":[0.00005355431,0.0006736093,0.004048546,0.0006705399,0.00007455439,0.005055427,0.0001446568,0.1906867,0.06336106,0.1142038,0.6207786,0.0002489188],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.008583521,0.02062633,0.9028852,0.002734665,0.001876124,0.0005325369,0.0005990095,0.003396129,0.0587666],"genre_scores_gemma":[0.1139512,0.02691124,0.823109,0.001659077,0.002289286,0.0003908393,0.001207448,0.0008370781,0.02964474],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00399221,"threshold_uncertainty_score":0.01335526,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01583972522447035,"score_gpt":0.2879558704078414,"score_spread":0.2721161451833711,"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."}}