"Neural networks"

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 …

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 …