"convolutional neural networks"

FPGA Based Video Transcoding System with 2K-4K Super-Resolution Conversion

We present a FPGA-based system supporting video stream transcoding with 2k full high-definition (FHD) video to 4k ultra high-definition (UHD) video super- resolution(SR) conversion. Our system focuses on building a functional pipeline with …

Low-precision CNN Model Quantization based on Optimal Scaling Factor Estimation

With the development of convolutional neural networks (CNNs), researchers have acquired satisfactory performances on computer vision tasks such as image classification and semantic segmentation. However, CNNs contain millons of weight parameters and …

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 …