Evolving Neural Networks based video coding research efforts are focused on two different directions: (1) improving existing video codecs by performing better predictions that are incorporated within the same codec framework, and (2) holistic methods of end-to-end image/video compression schemes. ...
We evaluate our approach on standard video compression test sets of varying resolutions, and benchmark against all mainstream commercial codecs, in the low-latency mode. On standard-definition videos, relative to our algorithm, HEVC/H.265, AVC/H.264 and VP9 typically produce codes up to 60% ...
为了倡导基于深度学习的视频编码研究,本文对我们开发的视频编解码器即深度学习视频编码(Deep Learning Video Coding,DLVC)进行了案例研究。DLVC具有两个深度工具,分别为基于CNN的环路滤波器(CNN-based in-loop filter,CNN-ILF)以及基于CNN的块自适应分辨率编码(CNN-based block adaptive resolution coding,CNN-BARC)。
Deep learningIn the video compression industry, video compression tailored to machine vision tasks has recently emerged as a critical area of focus. Given the unique characteristics of machine vision, the current practice of directly employing conventional codecs reveals inefficiency, which requires ...
CGVC-T: Contextual Generative Video Compression With Transformers With the high demands for video streaming, recent years have witnessed a growing interest in utilizing deep learning for video compression. Most existing n... P Du,Y Liu,N Ling - 《IEEE Journal on Emerging & Selected Topics in ...
Also, it is noticed that learning effective video representations with view invariance is not explicitly addressed for which features exhibit different distributions otherwise. Thus, matching videos for person re-ID demands flexible models to capture the dynamics in time-series observations and learn ...
Implementing#deepdreamon video Creative Request It would be very helpful for other deepdream researchers, if you couldinclude the used parameters in the description of your youtube videos. You can find the parameters in the image filenames. ...
At least one of the present embodiments generally relates to a method or an apparatus for compression of images and videos using Artificial Neural Network (ANN) based tools.BACKGROUNDThe Joint Video Exploration Team (JVET) between ISO/MPEG and ITU is currently studying tools to replace some ...
Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation NeurIPS 2021 [Sanja Fidler] Insta-DM: Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency AAAI 2021 Instance-wise Depth and Motion Learning from Monocular Videos NeurIPS 2020 workshop [web...
Here we present Social LEAP Estimates Animal Poses (SLEAP), a machine learning system for multi-animal pose tracking. This system enables versatile workflows for data labeling, model training and inference on previously unseen data. SLEAP features an accessible graphical user interface, a ...