Deep learning for camera data acquisition, control, and image estimation
We review the impact of deep-learning technologies on camera architecture. The function of
a camera is first to capture visual information and second to form an image. Conventionally …
a camera is first to capture visual information and second to form an image. Conventionally …
Advances in video compression system using deep neural network: A review and case studies
Significant advances in video compression systems have been made in the past several
decades to satisfy the near-exponential growth of Internet-scale video traffic. From the …
decades to satisfy the near-exponential growth of Internet-scale video traffic. From the …
Unified architecture adaptation for compressed domain semantic inference
Advances in both lossy image compression and semantic content understanding have been
greatly fueled by deep learning techniques, yet these two tasks have been developed …
greatly fueled by deep learning techniques, yet these two tasks have been developed …
2C-Net: integrate image compression and classification via deep neural network
Providing effective support for intelligent vision tasks without image reconstruction can save
numerous computational costs in the era of big data. With the help of the Deep Neural …
numerous computational costs in the era of big data. With the help of the Deep Neural …
Learning-based scalable image compression with latent-feature reuse and prediction
Recently, learning-based image compression model has attracted much attention due to its
impressive performance and ease of optimization, compared with traditional DCT and …
impressive performance and ease of optimization, compared with traditional DCT and …
Human–machine interaction-oriented image coding for resource-constrained visual monitoring in IoT
Visual monitoring supported by the Internet of Things (IoT) increasingly relies on analyzing a
mass of image data with human–machine interactive mechanisms. However, maintaining …
mass of image data with human–machine interactive mechanisms. However, maintaining …
String prediction for 4: 2: 0 format screen content coding and its implementation in AVS3
Q Zhou, L Zhao, K Zhou, T Lin, H Wang… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
In the past, string prediction (also known as string matching) was applied only to RGB and
YUV 4: 4: 4 format screen content coding. This paper proposes a string prediction approach …
YUV 4: 4: 4 format screen content coding. This paper proposes a string prediction approach …
Learn a compression for objection detection-vae with a bridge
Recent advances in sensor technology and wide deployment of visual sensors lead to a
new application whereas compression of images are not mainly for pixel recovery for human …
new application whereas compression of images are not mainly for pixel recovery for human …
Substitutional neural image compression
We describe Substitutional Neural Image Compression (SNIC), a general approach for
enhancing any neural image compression model, that requires no data or additional tuning …
enhancing any neural image compression model, that requires no data or additional tuning …