WO2018170393A3 - Frame interpolation via adaptive convolution and adaptive separable convolution - Google Patents
Frame interpolation via adaptive convolution and adaptive separable convolution Download PDFInfo
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- WO2018170393A3 WO2018170393A3 PCT/US2018/022858 US2018022858W WO2018170393A3 WO 2018170393 A3 WO2018170393 A3 WO 2018170393A3 US 2018022858 W US2018022858 W US 2018022858W WO 2018170393 A3 WO2018170393 A3 WO 2018170393A3
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- convolution
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/01—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level
- H04N7/0127—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level by changing the field or frame frequency of the incoming video signal, e.g. frame rate converter
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N3/00—Computing arrangements based on biological models
- G06N3/02—Neural networks
- G06N3/08—Learning methods
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
- G06N20/10—Machine learning using kernel methods, e.g. support vector machines [SVM]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4007—Interpolation-based scaling, e.g. bilinear interpolation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
- G06T3/4046—Scaling the whole image or part thereof using neural networks
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/01—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level
- H04N7/0135—Conversion of standards, e.g. involving analogue television standards or digital television standards processed at pixel level involving interpolation processes
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N19/00—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals
- H04N19/50—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding
- H04N19/587—Methods or arrangements for coding, decoding, compressing or decompressing digital video signals using predictive coding involving temporal sub-sampling or interpolation, e.g. decimation or subsequent interpolation of pictures in a video sequence
Abstract
Systems, methods, and computer-readable media for context-aware synthesis for video frame interpolation are provided. A convolutional neural network (ConvNet) may, given two input video or image frames, interpolate a frame temporarily in the middle of the two input frames by combining motion estimation and pixel synthesis into a single step and formulating pixel interpolation as a local convolution over patches in the input images. The ConvNet may estimate a convolution kernel based on a first receptive field patch of a first input image frame and a second receptive field patch of a second input image frame. The ConvNet may then convolve the convolutional kernel over a first pixel patch of the first input image frame and a second pixel patch of the second input image frame to obtain color data of an output pixel of the interpolation frame. Other embodiments may be described and/or claimed.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
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US16/495,029 US11468318B2 (en) | 2017-03-17 | 2018-03-16 | Frame interpolation via adaptive convolution and adaptive separable convolution |
KR1020197030137A KR102474168B1 (en) | 2017-03-17 | 2018-03-16 | Frame interpolation with adaptive convolution and adaptive disjoint convolution |
Applications Claiming Priority (4)
Application Number | Priority Date | Filing Date | Title |
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US201762473234P | 2017-03-17 | 2017-03-17 | |
US62/473,234 | 2017-03-17 | ||
US201762485794P | 2017-04-14 | 2017-04-14 | |
US62/485,794 | 2017-04-14 |
Publications (3)
Publication Number | Publication Date |
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WO2018170393A2 WO2018170393A2 (en) | 2018-09-20 |
WO2018170393A9 WO2018170393A9 (en) | 2018-11-15 |
WO2018170393A3 true WO2018170393A3 (en) | 2018-12-20 |
Family
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Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
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PCT/US2018/022858 WO2018170393A2 (en) | 2017-03-17 | 2018-03-16 | Frame interpolation via adaptive convolution and adaptive separable convolution |
Country Status (3)
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US (1) | US11468318B2 (en) |
KR (1) | KR102474168B1 (en) |
WO (1) | WO2018170393A2 (en) |
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Also Published As
Publication number | Publication date |
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KR102474168B1 (en) | 2022-12-06 |
US11468318B2 (en) | 2022-10-11 |
WO2018170393A2 (en) | 2018-09-20 |
WO2018170393A9 (en) | 2018-11-15 |
KR20190132415A (en) | 2019-11-27 |
US20200012940A1 (en) | 2020-01-09 |
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