{"id":"W1982743464","doi":"10.1145/2656205","title":"Image Enhancement in Encrypted Domain over Cloud","year":2015,"lang":"en","type":"article","venue":"ACM Transactions on Multimedia Computing Communications and Applications","topic":"Advanced Steganography and Watermarking Techniques","field":"Computer Science","cited_by":69,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Winnipeg","funders":"","keywords":"Computer science; Cloud computing; Encryption; Server; Overhead (engineering); Enhanced Data Rates for GSM Evolution; Noise (video); Secret sharing; Information leakage; Image quality; Process (computing); Computer security; Image (mathematics); Cryptography; Computer network; Computer vision; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004311101,0.0001837997,0.0001816775,0.0003057815,0.0004482333,0.0001094088,0.001871419,0.00007927069,0.000003385034],"category_scores_gemma":[0.00001736118,0.0001905925,0.00005867629,0.0008665129,0.0002179324,0.0003051166,0.0001814097,0.0003775549,0.00001683533],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007663013,"about_ca_system_score_gemma":0.00005179322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006078368,"about_ca_topic_score_gemma":0.00002704324,"domain_scores_codex":[0.9986286,0.0001499791,0.0003872498,0.0003914068,0.000181188,0.0002616323],"domain_scores_gemma":[0.9965923,0.0004400352,0.0001153277,0.002591646,0.000107854,0.0001528617],"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":[0.0000219877,0.001679875,0.0006741547,0.00002684665,0.00005637277,0.000002831207,0.006014791,0.0002806421,0.005838018,0.03864716,0.000225747,0.9465316],"study_design_scores_gemma":[0.00483187,0.0005130592,0.005148497,0.0003643401,0.00005809345,0.00005326443,0.001343706,0.5873763,0.008144007,0.2597719,0.1304753,0.001919794],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.004535399,0.0001978502,0.9915122,0.001928718,0.0000657686,0.000581492,0.000008123508,0.0003486574,0.0008217505],"genre_scores_gemma":[0.416865,0.0002330444,0.5824686,0.000133557,0.0000185335,0.000248517,0.00001238191,0.000008674716,0.00001176893],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.9446118,"threshold_uncertainty_score":0.7772135,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02639096273959818,"score_gpt":0.3036357746954435,"score_spread":0.2772448119558453,"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."}}