{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001876972,0.0002329587,0.0002639762,0.0003028025,0.0001935368,0.0004060539,0.0002485211,0.0002531349,0.0009358333],"category_scores_gemma":[0.0004829899,0.00009737774,0.0002630858,0.0002901694,0.0003244285,0.000824765,0.0004170549,0.0002907878,0.0002784108],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002084257,"about_ca_system_score_gemma":0.0002006052,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003844108,"about_ca_topic_score_gemma":0.0004117935,"domain_scores_codex":[0.9998071,0.00002503895,0.00001016818,0.00002854154,0.00009631981,0.00003289855],"domain_scores_gemma":[0.9996982,0.0000743171,0.00005484641,0.00008278553,0.00007537586,0.00001465543],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0007524446,0.0001678302,0.001785723,0.0002123378,0.00004785327,0.001448913,0.0002593546,0.0357799,0.7627784,0.01947184,0.001556825,0.1757385],"study_design_scores_gemma":[0.00003903136,0.0002256099,0.001873385,0.00001920794,0.00003901089,0.002242236,0.000137896,0.3940115,0.5916227,0.00452057,0.005245751,0.00002328518],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.4696876,0.0008050283,0.5175527,0.0003459459,0.0001095906,0.00008149181,0.00009636871,0.0004692702,0.01085202],"genre_scores_gemma":[0.9096235,0.0005238009,0.08480125,0.00005563864,0.00003949707,0.00001369402,0.00004850089,0.00002971086,0.004864419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.0009358333,"threshold_uncertainty_score":0.003130615,"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."}}