{"id":"W1986002615","doi":"10.1109/icme.2007.4284790","title":"Hard Authentication of H.264 Video Applying MPEG-21 Generic Bitstream Syntax Description (gBSD)","year":2007,"lang":"en","type":"article","venue":"","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Ottawa","funders":"","keywords":"Computer science; Authentication (law); Hash function; Bitstream; Watermark; Digital watermarking; Scalable Video Coding; Adaptation (eye); Computer security; Motion compensation; Artificial intelligence; Decoding methods; Embedding; Algorithm; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005259954,0.0001337135,0.0001483918,0.0002857619,0.000106156,0.00006086669,0.0005317469,0.00007652053,0.000006766191],"category_scores_gemma":[0.00001990269,0.0001190087,0.00009139146,0.0006202604,0.0000607818,0.0006403354,0.0001301953,0.00008875553,0.000007818425],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0000349919,"about_ca_system_score_gemma":0.00001600827,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003498125,"about_ca_topic_score_gemma":0.000006446694,"domain_scores_codex":[0.9987761,0.00003310848,0.0003454625,0.0003239602,0.0002484807,0.0002729111],"domain_scores_gemma":[0.9990836,0.00005278708,0.0001603769,0.00053538,0.000100082,0.00006770778],"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":[0.00002840292,0.0001819894,0.009361626,0.00007211219,0.00003600779,0.000009419145,0.001030245,0.00003521782,0.5183937,0.1357469,0.0004812398,0.3346231],"study_design_scores_gemma":[0.0002700713,0.0001542727,0.03744052,0.000106816,0.0000207314,0.00003087488,0.0001011973,0.01057721,0.9046153,0.04193631,0.00431646,0.0004302623],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08579233,0.0000710243,0.9110842,0.00008549038,0.0001653136,0.000215885,8.826252e-7,0.0004820172,0.002102815],"genre_scores_gemma":[0.6795578,0.00002207343,0.3201186,0.00007604364,0.00002535224,0.00001994172,0.000002976333,0.000006336127,0.0001708109],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5937655,"threshold_uncertainty_score":0.4853036,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02618064153857197,"score_gpt":0.2531048836932972,"score_spread":0.2269242421547252,"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."}}