{"id":"W2359119164","doi":"","title":"Zero Digital Image Watermarking Method Against Rotation Attack Based On Block DCT Transform","year":2010,"lang":"en","type":"article","venue":"Microcomputer applications","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Digital watermarking; Rotation (mathematics); Computer science; Computer vision; Translation (biology); Watermark; Artificial intelligence; Discrete cosine transform; Block (permutation group theory); Scrambling; Image (mathematics); Distortion (music); Noise (video); Digital image; Algorithm; Image processing; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001822366,0.000431388,0.0004586094,0.000797189,0.0003208723,0.0004210982,0.000431997,0.0003971105,0.001786418],"category_scores_gemma":[0.0006670805,0.0001627012,0.0003488558,0.0005032135,0.0003986921,0.0008850718,0.000373306,0.0003952397,0.0006404824],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001833239,"about_ca_system_score_gemma":0.0004085618,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005596413,"about_ca_topic_score_gemma":0.0006850561,"domain_scores_codex":[0.9997281,0.00002941143,0.00001758385,0.00005726983,0.000145758,0.00002177492],"domain_scores_gemma":[0.9997519,0.00005451202,0.0000398246,0.00004777285,0.00008861245,0.00001733859],"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":[0.0002047348,0.00005998366,0.0006404222,0.0002708746,0.00003271488,0.000236362,0.0001261702,0.008250761,0.5311164,0.01266597,0.001961261,0.4444343],"study_design_scores_gemma":[0.0001066351,0.0004767215,0.001938702,0.00004612656,0.000106201,0.003082647,0.00007080868,0.3019436,0.6639376,0.003296919,0.0248932,0.0001009368],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05908217,0.001322688,0.9320759,0.0002309045,0.0002425359,0.00008720107,0.0000634633,0.0009781768,0.00591696],"genre_scores_gemma":[0.5496095,0.002349974,0.4316158,0.0001003936,0.0001927247,0.0001035819,0.0003112529,0.000121614,0.01559515],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.001786418,"threshold_uncertainty_score":0.00597614,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008848603474751677,"score_gpt":0.2707925474720759,"score_spread":0.2619439439973242,"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."}}