{"id":"W2011471683","doi":"10.1117/12.846701","title":"GPU implementation of JPEG XR","year":2009,"lang":"de","type":"article","venue":"Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE","topic":"Advanced Data Compression Techniques","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computer science; JPEG; JPEG 2000; Huffman coding; CUDA; Codec; Transform coding; Lossless JPEG; Image compression; Data compression; Computer hardware; Parallel computing; Computer architecture; Computer engineering; Image processing; Discrete cosine transform; Artificial intelligence; 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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0009394793,0.0005308347,0.0007410189,0.0002295975,0.0001235228,0.0002071958,0.003106691,0.0002880717,0.00002854285],"category_scores_gemma":[0.0004417686,0.0004752258,0.0008787884,0.0007311231,0.0003002226,0.001787236,0.0006036374,0.0004886242,0.00000339257],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002325427,"about_ca_system_score_gemma":0.00009323694,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0000173756,"about_ca_topic_score_gemma":1.211195e-7,"domain_scores_codex":[0.9956845,3.241808e-8,0.001540578,0.0007507942,0.00139177,0.0006323052],"domain_scores_gemma":[0.9951254,0.0001900974,0.001327458,0.0001883312,0.002972291,0.0001964237],"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":[0.00005785448,0.0001849944,0.0001351163,0.0003676811,0.0002782099,1.271349e-7,0.0003634238,0.00004446758,0.4324096,0.5509247,0.0086385,0.006595341],"study_design_scores_gemma":[0.001810973,0.001524509,0.002312727,0.001112346,0.0003108917,0.00001587942,0.001455528,0.03772232,0.9223486,0.01716165,0.01342245,0.0008021061],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"methods","genre_scores_codex":[0.9869681,0.0005960831,0.004721931,0.004812599,0.0005722271,0.001059585,0.0001889085,0.0002021124,0.0008784532],"genre_scores_gemma":[0.3431911,0.0007475861,0.6546503,0.000308567,0.0007390271,0.0001217837,0.00003175423,0.00007317879,0.0001366436],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.6499285,"threshold_uncertainty_score":0.9997699,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01334424663427033,"score_gpt":0.2755268806974233,"score_spread":0.262182634063153,"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."}}