{"id":"W1529017486","doi":"10.1109/ispa.2003.1296879","title":"Reliable adaptive watermarking scheme integrated with JPEG2000","year":2004,"lang":"en","type":"article","venue":"","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Watermark; Digital watermarking; JPEG 2000; Quantization (signal processing); Computer science; Computer vision; Image compression; Artificial intelligence; Wavelet; Transform coding; Encoder; Compression ratio; Data compression; Compression (physics); Algorithm; Image processing; Image (mathematics); Discrete cosine transform; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00009292149,0.0001566563,0.0001384614,0.00009460784,0.0001355175,0.000141866,0.0008891913,0.00004615391,0.0000402335],"category_scores_gemma":[0.00000935696,0.0001005857,0.00002149174,0.0004226278,0.0000669489,0.001246615,0.0003548959,0.000179066,0.00006819027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009013133,"about_ca_system_score_gemma":0.0001209606,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001751959,"about_ca_topic_score_gemma":0.00001462186,"domain_scores_codex":[0.9989039,0.0000150082,0.0001586073,0.0004116283,0.0002285122,0.0002822932],"domain_scores_gemma":[0.9990042,0.00001899312,0.00006173857,0.0007204409,0.0001099884,0.00008459901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001713965,0.0003576556,0.0004206146,0.00002068067,0.00006467995,0.0004572345,0.0009528463,0.003178554,0.0387397,0.8398228,0.008784127,0.1070297],"study_design_scores_gemma":[0.001207809,0.0005288757,0.0001594808,0.0004027245,0.000004544323,0.0001586071,0.00008356874,0.02440723,0.8236703,0.04814168,0.1005009,0.0007342887],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00180783,0.00003594044,0.9889129,0.0003391839,0.00004454007,0.0001481339,0.000001773653,0.001217252,0.007492431],"genre_scores_gemma":[0.1573438,0.000009899924,0.8416427,0.0004160468,0.00001149569,0.00002358415,0.000005058746,0.00001081979,0.0005366395],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.7916811,"threshold_uncertainty_score":0.4101768,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01247856228029923,"score_gpt":0.2320130082383716,"score_spread":0.2195344459580724,"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."}}