Codec-aware video preprocessing for training and inference. Extracts codec-level bitcost information from H.264 / HEVC / VP9 videos and turns them into patch-canvases ready for downstream vision ...
Abstract: The problem of learning a channel decoder is considered for two channel models. The first model is an additive noise channel whose noise distribution is unknown and nonparametric. The ...
Abstract: In this work, we propose a Wavelet-based Deep Auto Encoder-Decoder Network (WDAED) based image compression which takes care of the various frequency components present in an image.
Some results have been hidden because they may be inaccessible to you
Show inaccessible results