Results 41 to 50 of about 1,483,995 (324)
MEMC-Net: Motion Estimation and Motion Compensation Driven Neural Network for Video Interpolation and Enhancement [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018 Motion estimation (ME) and motion compensation (MC) have been widely used for classical video frame interpolation systems over the past decades. Recently, a number of data-driven frame interpolation methods based on convolutional neural networks have ...
Wenbo Bao +4 more
semanticscholar +1 more source
Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolation [PDF]
Computer Vision and Pattern Recognition, 2023 Effectively extracting inter-frame motion and appearance information is important for video frame interpolation (VFI). Previous works either extract both types of information in a mixed way or devise separate modules for each type of information, which ...
Guozhen Zhang +5 more
semanticscholar +1 more source
Cross-Attention Transformer for Video Interpolation
, 2023 We propose TAIN (Transformers and Attention for video INterpolation), a residual neural network for video interpolation, which aims to interpolate an intermediate frame given two consecutive image frames around it. We first present a novel vision transformer module, named Cross Similarity (CS), to globally aggregate input image features with similar ...
Hannah Halin Kim +3 more
openaire +2 more sources
Frequency-Based Adaptive Interpolation Filter in Intra Prediction
Applied Sciences, 2023 This paper proposes a method to improve the fractional interpolation of reference samples in the Versatile Video Coding (VVC) intra prediction. The proposed method uses additional interpolation filters which use more integer-positioned reference samples ...
Su-Yeon Lim +2 more
doaj +1 more source
A sub-pixel motion estimation skipping method for fast HEVC encoding
ICT Express, 2019 While motion estimation (ME) efficiently compresses video data by reducing temporal redundancy between frames, it does so at the cost of computational complexity.
Sang-hyo Park
doaj +1 more source
A Motion Refinement Network With Local Compensation for Video Frame Interpolation
IEEE Access, 2023 Video frame interpolation (VFI) is a challenging yet promising task that involves synthesizing intermediate frames from two given frames. State-of-the-art approaches have made significant progress by directly synthesizing images using forward optical ...
Kaiqiao Wang, Peng Liu
doaj +1 more source
Multiple description video coding for stereoscopic 3D [PDF]
, 2009 In this paper, we propose an MDC schemes for stereoscopic 3D video. In the literature, MDC has previously been applied in 2D video but not so much in 3D video.
Abdul Karim, H +4 more
core +1 more source
Interpolation-Based Smart Video Stabilization
Journal of Intelligent Systems with Applications, 2021 Video stabilization is the process of eliminating unwanted camera movements and shaking in a recorded video. Recently, learning-based video stabilization methods have become very popular. Supervised learning-based approaches need labeled data. For the video stabilization problem, recording both stable and unstable versions of the same video is quite ...
Semiha Dervişoğlu +2 more
openaire +1 more source
A reconfigurable frame interpolation hardware architecture for high definition video [PDF]
, 2009 Since Frame Rate Up-Conversion (FRC) is started to be used in recent consumer electronics products like High Definition TV, real-time and low cost implementation of FRC algorithms has become very important.
Hamzaoglu, Ilker +3 more
core +1 more source
Depth-Aware Video Frame Interpolation [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 This work is accepted in CVPR 2019.
Bao, Wenbo +5 more
openaire +2 more sources