DEEP NEURAL NETWORK COLOR SPACE OPTIMIZATION
user-607cde9d4c775e0497f57189(2021)
摘要
Example method includes: transmitting a plurality of probe images from an IoT device at an edge network to a server hosting a target DNN, wherein the plurality of images are injected with a limited amount of noise to probe sensitivities of the target DNN to the red, green, and blue colors; receiving a feedback comprising a plurality of DCT coefficients unique to target DNN from the server hosting the target DNN; computing a plurality of color conversion weights based on the feedback received from the server; converting a set of real-time images from RGB color space to YUV color space using the plurality of color conversion weights unique to the target DNN; compressing the set of real-time images using a quantization table unique to the target DNN by the IoT device; and transmitting the compressed set of real-time images to the server hosting the target DNN for DNN inferences.
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关键词
Color space,RGB color space,Quantization (image processing),Noise (video),Computer vision,Discrete cosine transform,Set (abstract data type),Artificial neural network,Table (database),Computer science,Artificial intelligence
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