Results 11 to 20 of about 222,192 (284)
Texture-aware Video Frame Interpolation [PDF]
Temporal interpolation has the potential to be a powerful tool for video compression. Existing methods for frame interpolation do not discriminate between video textures and generally invoke a single general model capable of interpolating a wide range of video content.
Danier, Duolikun, Bull, David
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Video Frame Interpolation Based on Symmetric and Asymmetric Motions
Video frame interpolation is the task to synthesize intermediate frames between consecutive frames to increase the frame rate. Recently, various deep-learning techniques have been proposed to interpolate intermediate frames more reliably.
Whan Choi, Yeong Jun Koh, Chang-Su Kim
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Time Lens: Event-based Video Frame Interpolation [PDF]
State-of-the-art frame interpolation methods generate intermediate frames by inferring object motions in the image from consecutive key-frames. In the absence of additional information, first-order approximations, i.e. optical flow, must be used, but this choice restricts the types of motions that can be modeled, leading to errors in highly dynamic ...
Tulyakov, Stepan +6 more
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Luminance Compensation MEMC for Video Frame Interpolation
Video frame interpolation is an important technology in digital video processing, which has great impact on users’ viewing experience. In particular, in medical or industrial application scenarios, the accuracy of the frame interpolation algorithm
Zixuan Xu +5 more
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Video Interpolation Based on Compression and Refined Deep Voxel Flow Model [PDF]
Video interpolation refers to the synthesis of intermediate frames using the image information of adjacent frames in a video, which can be directly applied to slow motion video playback, high-frequency video synthesis, animation production, and other ...
RU Niuniu, YU Jinwei, YANG Weihua, BIAN Wei
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Revisiting Event-Based Video Frame Interpolation
Dynamic vision sensors or event cameras provide rich complementary information for video frame interpolation. Existing state-of-the-art methods follow the paradigm of combining both synthesis-based and warping networks. However, few of those methods fully respect the intrinsic characteristics of events streams.
Chen, Jiaben +9 more
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Dynamic Frame Interpolation in Wavelet Domain
Video frame interpolation is an important low-level vision task, which can increase frame rate for more fluent visual experience. Existing methods have achieved great success by employing advanced motion models and synthesis networks. However, the spatial redundancy when synthesizing the target frame has not been fully explored, that can result in lots
Lingtong Kong +6 more
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An emerging differential dynamic microscopy technique has been successfully used for quantitative dynamic investigation of micro-particle suspension, leading to a rheological assessment of the solution.
Ungkarn Jarujareet +3 more
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Deep Frame Interpolation for Video Compression [PDF]
Deep neural networks have been recently proposed to solve video interpolation tasks. Given a past and future frame, such networks can be trained to successfully predict the intermediate frame(s). In the context of video compression, these architectures could be useful as an additional inter-prediction mode.
Bégaint, Jean +3 more
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DRVI: Dual Refinement for Video Interpolation
The quality of a video clip is considered to be poor if the resolution or the frame rate is low. Video interpolation is thus introduced to enhance video quality and provide a better viewing experience to users.
Xuanyi Wu, Zhenkun Zhou, Anup Basu
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