"feature extraction"

3D-BitNet: Flow-Agnostic and Precise Network for video Bit-Depth Expansion

Bit-depth expansion(BDE) algorithms have made great progress on single image. However, it is hard to directly apply on videos with no temporal constraint. Aiming at the problem of video BDE, we adopt an encoder-decoder structure with 3D convolution …

Deep Blind Video Quality Assessment for User Generated Videos

As short video industry grows up, quality assessment of user generated videos has become a hot issue. Existing no reference video quality assessment methods are not suitable for this type of application scenario since they are aimed at synthetic …

Native Resolution Detection for 4K-UHD Videos

There are many resolution enhancement methods to produce 4K-UHD videos including interpolation and deep learning based Super-Resolution, but lack of details, aliasing and unnatural transition are still inevitable and affect viewer's immersive …

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 …

Machine learning based VP9-to-HEVC video transcoding

As more and more coding standards are developed for videos with higher resolution and higher frame rates, the conversion between them is in demand. This paper focuses on the development of fast VP9-to-HEVC transcoding algorithm. Since the …

Two-stream recurrent convolutional neural networks for video saliency estimation

Recently, research has emphasized the need for video saliency estimation since its application covers a large domain. Traditional saliency prediction methods for video based on hand-crafted visual features lead to slow speed and ineffective results. …

Shot boundary detection using convolutional neural networks

Video shot boundary detection (SBD) is necessary for further video analysis like video retrieval and annotation. Great efforts have been made to develop SBD algorithms for speed and accuracy. Most works implement frame histogram as features to …

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 …

No-reference video quality assessment on mobile devices

The explosive growth of video applications and services on mobile devices has made it important to assess video quality. In this paper, we propose a no-reference video quality assessment method for mobile videos. Based on the analysis on common …

Hybrid center-symmetric local pattern for dynamic background subtraction

Effective foreground detection in dynamic scenes is a challenging task in computer vision applications. In this paper, we propose a novel background modeling method to tackle this problem. First, we propose a second-order center-symmetric local …