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公开(公告)号：US20180242016A1
公开(公告)日：2018-08-23
申请号：US15438128
申请日：2017-02-21
Applicant: Intel Corporation
Inventor： Sang-Hee LEE , Ximin ZHANG , Jill M. BOYCE , Yi-Jen CHIU , Keith W. ROWE
IPC: H04N19/597 , H04N19/182 , H04N19/124 , H04N19/48 , H04N19/184
CPC classification number: H04N19/597 , H04N19/82 , H04N19/86
Abstract: Techniques related to deblock filtering for 360 video are discussed. Such video coding techniques include determining, from a 2D video frame that includes a projection from a 360 video space, a group of pixels for deblock filtering including a first set of pixels and a second set of pixels that are non-neighboring sets of pixels in the individual 2D video frame and include a first pixel of the first set of pixels and a second pixel of the second set of pixels that are neighboring pixels in the 360 video space and deblock filtering the group of pixels.
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2.发明申请公开(公告)号：US20180316937A1
公开(公告)日：2018-11-01
申请号：US15961677
申请日：2018-04-24
Applicant: Intel Corporation
Inventor： Wenhao ZHANG , Yi-Jen CHIU , Lidong XU , Yu HAN , Hong JIANG
CPC classification number: H04N19/63 , H04N19/132 , H04N19/157 , H04N19/18 , H04N19/30 , H04N19/36
Abstract: Methods, systems, and computer program products for the generation of multiple layers of scaled encoded video data compatible with the HEVC standard. Residue from prediction processing may be transformed into coefficients in the frequency domain. The coefficients may then be sampled to create a layer of encoded data. The coefficients may be sampled in different ways to create multiple respective layers. The layers may then be multiplexed and sent to a decoder. There, one or more of the layers may be chosen. The choice of certain layer(s) may be dependent on the desired attributes of the resulting video. A certain level of video quality, frame rate, resolution, and/or bit depth may be desired, for example. The coefficients in the chosen layers may then be assembled to create a version of the residue to be used in video decoding.
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公开(公告)号：US20170262970A1
公开(公告)日：2017-09-14
申请号：US15127787
申请日：2015-09-11
Applicant: Ke CHEN , Zhipin DENG , Xiaoxia CAI , Chen WANG , Yi-Jen CHIU , Ya-ti PENG , Lidong XU , INTEL CORPORATION
Inventor： Ke CHEN , Zhipin DENG , Xiaoxia CAI , Chen WANG , Yi-Jen CHIU , Ya-Ti PENG , Lidong XU
CPC classification number: G06T5/20 , G06K9/00268 , G06K9/00302 , G06K9/00664 , G06T3/0093 , G06T5/00 , G06T11/60 , G06T2207/10024 , G06T2207/30201
Abstract: Systems, apparatus, articles, and methods are described below including operations for real-time face beautification features for video images.
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公开(公告)号：US20240273684A1
公开(公告)日：2024-08-15
申请号：US18569528
申请日：2021-12-10
Applicant: INTEL CORPORATION
Inventor： Chen WANG , Yi-Jen CHIU , Huan DOU , Ying ZHANG
CPC classification number: G06T5/60 , G06T5/20 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084
Abstract: This disclosure describes systems. methods. and devices related to deep learning-based video processing. A system may include a first neural network associated with generating kernel weights for the DL VP. the first neural network using a first hardware device: and a second neural network associated with filtering image pixels for the DLVP. the second neural network using a second hardware device, wherein the first neural network receives image data and generates the kernel weights based on the image data, and wherein the second neural network receives the image data and the kernel weights. and generates filtered image data based on the image data and the kernel weights.
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公开(公告)号：US20170039444A1
公开(公告)日：2017-02-09
申请号：US15125027
申请日：2014-04-11
Applicant: Jianguo LI , Ke CHEN , Yi-Jen CHIU , Chen WANG , Ya-Ti PENG , Bin Robin WANG , INTEL CORPORATION
Inventor： Jianguo LI , Ke CHEN , Yi-Jen CHIU , Chen WANG , Ya-Ti Peng , Bin WANG
CPC classification number: G06K9/4604 , G06K9/4647 , G06K9/6282 , G06K2009/4666 , G06T7/73 , G06T2207/10004
Abstract: Techniques related to object detection using directional filtering are discussed. Such techniques may include determining directional weighted averages for pixels of an input image, generating a feature representation of the input image based on the directional weighted averages, and performing object detection by applying a multi-stage cascade classifier to the feature representation.
Abstract translation: 讨论与使用方向滤波的对象检测相关的技术。 这样的技术可以包括确定输入图像的像素的方向加权平均值，基于方向加权平均值生成输入图像的特征表示，以及通过将多级联级分类器应用于特征表示来执行对象检测。
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Patent Agency Ranking
公开(公告)号：US20180174370A1
公开(公告)日：2018-06-21
申请号：US15127785
申请日：2015-09-11
Applicant: INTEL CORPORATION
Inventor： Ke CHEN , Zhipin DENG , Xiaoxia CAI , Chen WANG , Ya-Ti PENG , Yi-Jen CHIU , Lidong XU
CPC classification number: G06T19/20 , G06K9/00228 , G06K9/00268 , G06T5/00 , G06T7/90 , G06T15/005 , G06T2207/10016 , G06T2207/10024 , G06T2207/20028 , G06T2207/30201
Abstract: Systems, apparatus, articles, and methods are described below including operations for scalable real-time face beautification of video images.
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公开(公告)号：US20170372456A1
公开(公告)日：2017-12-28
申请号：US15189945
申请日：2016-06-22
Applicant: INTEL CORPORATION
Inventor： Teahyung LEE , Jong Dae OH , Yi-Jen CHIU
CPC classification number: G06T5/003 , G06T5/002 , G06T5/10 , G06T5/40 , G06T2207/10016 , G06T2207/20056 , G06T2207/20076 , G06T2207/20084
Abstract: Techniques related to video processing with adaptive sharpness enhancement are discussed. Such techniques may include determining a detail versus noise score for a video frame based on a noise level, a motion level, an average luma value, and spatial frequency information of the video frame and enhancing sharpness of the video frame based on sharpness enhancement control parameters generated based on the detail versus noise score for the video frame.
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公开(公告)号：US20170230581A1
公开(公告)日：2017-08-10
申请号：US15502990
申请日：2014-09-19
Applicant: INTEL CORPORATION
Inventor： Xiaoxia CAI , Chen WANG , Lidong XU , Yi-Jen CHIU
IPC: H04N5/232
CPC classification number: H04N5/23267 , H04N5/23254
Abstract: Trajectory planning is described for video stabilization. In one example, a sequence of video frames is received and low-pass filtered. If a subset of the low-pass filtered frames are determined to be zero-motion frames, then a smooth trajectory is estimated for the for the zero-motion frames. Jitter is removed from the zero-motion frames using the smooth trajectory and frame warping is applied to the zero-motion frames with jitter removed.
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公开(公告)号：US20220353498A1
公开(公告)日：2022-11-03
申请号：US17764026
申请日：2020-12-22
Applicant: Intel Corporation
Inventor： Vijay SUNDARAM , Yi-Jen CHIU
IPC: H04N19/11 , H04N19/176 , H04N19/182 , H04N19/88 , H04N19/172 , H04N19/105 , H04N19/184 , H04N19/159 , H04N19/593
Abstract: Example methods, apparatus, systems and articles of manufacture (e.g., physical storage media) to implement video coding with multiple intra block copy modes are disclosed. Example video encoder apparatus disclosed herein include a coding block translator to perform a translation operation on a coding block of an image frame to determine a translated version of the coding block. Disclosed example video encoder apparatus also include a searcher to perform a first intra block copy search based on an untranslated version of the coding block and a second intra block copy search based on the translated version of the coding block to determine a candidate predictor block of previously encoded pixels of the image frame, the candidate predictor block corresponding to an intra block copy predictor of the coding block.
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公开(公告)号：US20220351496A1
公开(公告)日：2022-11-03
申请号：US17764008
申请日：2019-12-24
Applicant: Intel Corporation
Inventor： Huan DOU , Lidong XU , Xiaoxia CAI , Chen WANG , Yi-Jen CHIU
IPC: G06V10/764 , G06V10/762 , G06V10/56 , G06V10/50 , G06V10/44 , G06V10/42 , G06V20/62
Abstract: A method for image content classification is described herein. The method includes counting a number of distinct color numbers in an image. The method also includes clustering blocks with a same distinct color number into a same class and determining a block occupancy rate of each color number for the image. Finally, the method includes classifying the image according to the block occupancy rate via a plurality of classifiers communicatively coupled in series.
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