"Deep learning"

Video Enhancement Based on Unpaired Learning

Distortion of real video is affected by many factors. Many existing old videos n have the problem of low definition. However, most video enhancement based on paired learning is trained for specific degradation problem, lack of the ability to enhance …

Current Frame Priors Assisted Neural Network for Intra Prediction

Intra prediction is the key technology to reduce spatial redundancy in the modern video coding standard. Recently, deep learning based methods that directly generate the intra prediction by neural network achieve superior performance than traditional …

Learning-Based Quality Enhancement For Scalable Coded Video Over Packet Lossy Networks

The layered feature of scalable video coding (SVC) offers a sufficient adaptation to unreliable transmission. When network condition drops sharply, enhancement layers will be abandoned, and only base layers are delivered. However, this will cause …

Hiding Private Information in Images From AI

Privacy protection attracts increasing concerns these days. People tend to believe that large social platforms will comply with the agreement to protect their privacy. However, photos uploaded by people are usually not treated to achieve privacy …

A Deep Tracking and Segmentation Approach for Soccer Videos Visual Effects

The applications of deep learning algorithm in sports contain enormous potential. Specifically, in soccer, tracking algorithm could record the tracks of players, which could play as an assistant to assess team performance and evaluate strategies. …

Deep Video Inverse Tone Mapping

Inverse tone mapping is an important topic in High Dynamic Range technology. Recent years, deep learning based image inverse tone mapping methods have been extensively studied and perform better than classical inverse tone mapping methods. However, …

Gan Based Multi-Exposure Inverse Tone Mapping

High dynamic range (HDR) imaging provide larger range of luminosity and wider color gamut than conventional low dynamic range (LDR) imaging. The method which transforms LDR contents to HDR contents is called inverse tone mapping. After deep neural …

CNN-Based Shot Boundary Detection and Video Annotation

With the explosive growth of video data, content-based video analysis and management technologies such as indexing, browsing and retrieval have drawn much attention. Video shot boundary detection (SBD) is usually the first and important step for …