… the deep learning technique for video processing as CNN, DNN, and RNN based. We observe
the significant advancements in video processing … LSTM based deep learning techniques. …

… deep learning-based video coding, we present a case study of our developed prototype video
codec, Deep Learning Video … Specifically for processing image/video, deep learning using …

… the needs for fast processing of continuous video data using … using deep learning techniques
for real time video processing, … on surveillance video. Compared with the high end GPU …

… video processing using deep learning, we should take into account the characteristics of the
computing of deep learning. … identify batch processing, which makes deep learning different …

… First, to reduce the number of redundant calculations, we introduce the analytical process
of video object detection from a data distribution perspective. Wang et al. [33] proposed a …

… The resulting PyTorchVideo-accelerated X3D model runs around 6× faster than real time,
requiring roughly 165ms to process one second of video, directly on the mobile phone. The …

… technologies with deep learning for realtime continuous video processing. To meet that need…
offline cloud processing, online stream processing, and runtime deep learning. Evaluations …

… Although these advanced deep learning models can provide us with better results, they also
… supports deep learning video analytics through edge processing and Neural Processing …

… supports deep learning video analytics through edge processing and Neural Processing …
Based on the processing time and accuracy requirement of the mobile application, we study …

… s Inception deep learning model can process about one video … [6], [7], typical processing
times are approximately 600 ms, … In industry, while a few applications run deep learning locally …