Compressed domain

In this paper, we present a novel method for automatically constructing networks based on an efficient differentiable search and a two-stream network framework for joining the frequency domain and motion vectors to perform action recognition in the compressed domain.

Do you want to know more about finding the most effective neural network architectures for the compressed domain? Check our paper “Action Recognition in the Compressed Domain: A Neural Search Approach”, just accepted for publication in the International Conference on Systems, Signals and Image Processing.