Can you tell a face from a HEVC bitstream?

Image and video analytics are being increasingly used on a massive scale. Not only is the amount of data growing, but the complexity of the data processing pipelines is also increasing, thereby exacerbating the problem. It is becoming increasingly important to save computational resources wherever possible. We focus on one of the poster problems of visual analytics -- face detection -- and approach the issue of reducing the computation by asking: Is it possible to detect a face without full image reconstruction from the High Efficiency Video Coding (HEVC) bitstream? We demonstrate that this is indeed possible, with accuracy comparable to conventional face detection, by training a Convolutional Neural Network on the output of the HEVC entropy decoder

Analysis and approximations for crossing two nearby spin resonances

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Ambient betatron motion and its excitation by ghost lines in Tevatron

Transverse betatron motion of the Tevatron proton beam is measured and analyzed. It is shown that the motion is coherent and excited by external sources of unknown origins. Observations of the time varying ghost lines in the betatron spectra are reported.Comment: 9 p

Ecotoxicological studies on Daphnia magna

In this study we used Daphnia magna as an index organism for ecotoxicological studies. In order to determine the filtration and ingestion rates in Daphnia magna, we used algea Chlorella volgaris (10 mg/1). Prior to the tests, the acute toxicity of the herbicides Machete and Saturn and the pesticides Diazinon and Malathion, in order to calculate their EC50, were determined. The concentrations which caused the same mortality rate in 24 hours as the EC50 concentrations of these chemical did, were 18.49 mg/1 for Machete, 4.46mg/1 for Saturn, 0.31 gr/1 for Diazinon and 1.5 grit for Malathion. In order to study the toxic effect of Machete, Saturn, Diazinon and Malathion on the filtration and ingestion rates, Daphnia magna was exposed to Ec50, 3/4 Ec50 ,1/2 Ec50 and 1/4 Ec50 concentrations. The rates were reduced after the organism had been exposed to these toxic chemicals for 5 hours. The effective concentrations at which feeding rate were reduced by 50%, compared to the controls, were for herbicides activity and pesticides action. These values in regard to filtration and ingestion rates were 2.8 and 3.3 mg/1 for Machete, 1.45 and 1.6 mg/1 for Saturn, 0.16 and 0.075 mg/1 for Diazinon and 0.6 and 0.7 mg/1 for Malathion respectively

DFTS: Deep Feature Transmission Simulator

Collaborative intelligence is a deployment paradigm for deep AI models where some of the layers run on the mobile terminal or network edge, while others run in the cloud. In this scenario, features computed in the model need to be transferred between the edge and the cloud over an imperfect channel. Here we present a simulator to help study the effects of imperfect packet-based transmission of deep features. Our simulator is implemented in Keras and allows users to study the effects of both lossy packet transmission and quantization on the accuracy