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公开(公告)号：US20150169962A1
公开(公告)日：2015-06-18
申请号：US14569681
申请日：2014-12-13
Applicant: Huawei Technologies Co., Ltd.
IPC: G06K9/00 , G11B27/034 , H04N5/262 , G06T7/20
CPC classification number: G06K9/00711 , G06F17/30843 , G06K9/00771 , G06T7/20 , G06T2207/10016 , G06T2207/30232 , G11B27/034 , H04N5/2625 , H04N21/23418 , H04N21/8549
Abstract: Embodiments of the present invention provide a video synopsis method and apparatus, and relate to the field of video synopsis. The method includes: extracting moving objects and moving tracks of the moving objects from an original video; calculating a spatio-temporal redundancy between the extracted moving tracks, and determining a synopsis ratio of the moving tracks according to the spatio-temporal redundancy; and changing rates of the moving tracks according to the synopsis ratio of the moving tracks. In the present invention, the spatio-temporal redundancy between the moving tracks is analyzed, and synopsis and rate changing are performed on corresponding tracks according to the spatio-temporal redundancy obtained by means of analysis to obtain different representations of different tracks, thereby improving user experience.
Abstract translation: 本发明的实施例提供了视频概要方法和装置，并且涉及视频概要的领域。 该方法包括：从原始视频中提取运动对象和运动对象的运动轨迹; 计算所提取的运动轨迹之间的空间 - 时间冗余，以及根据空间 - 时间冗余度确定运动轨迹的概要比; 以及根据移动轨道的概要比率来改变移动轨道的速率。 在本发明中，分析了移动轨迹之间的空间 - 时间冗余，并根据通过分析获得的时空冗余在对应的轨道上执行概要和速率改变，以获得不同轨迹的不同表示，从而改善用户 经验。
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公开(公告)号：US20150227816A1
公开(公告)日：2015-08-13
申请号：US14581418
申请日：2014-12-23
Applicant: Huawei Technologies Co., Ltd.
CPC classification number: G06K9/623 , G06K9/4623 , G06K9/4642 , G06K9/4652 , G06K9/481 , G06K9/6256 , G06K9/66 , G06K9/80 , G06T2207/10024 , G06T2207/20081 , G06T2207/20164
Abstract: The present invention provides a method and an apparatus for detecting a salient region of an image. Classification processing is performed on a test image according to an image feature vector of the test image by using a classifier obtained by means of pre-training, so as to obtain a classification label, where the classification label is used to indicate a salience detection algorithm for detecting a salient region of the test image. Salience detection is performed on the test image by using the salience detection algorithm indicated by the classification label, so as to obtain the salient region of the test image. Because a salience detection algorithm with the best detection effect is acquired by using the image feature vector of the test image, to detect the salient region of the test image, accuracy of salience detection is improved.
Abstract translation: 本发明提供一种用于检测图像的显着区域的方法和装置。 通过使用通过预训练获得的分类器，根据测试图像的图像特征向量对测试图像执行分类处理，以获得分类标签，其中分类标签用于指示突出检测算法 用于检测测试图像的显着区域。 通过使用由分类标签指示的突出检测算法，对测试图像进行显着性检测，以获得测试图像的显着区域。 因为通过使用测试图像的图像特征向量来获取具有最佳检测效果的突出检测算法，以检测测试图像的显着区域，提高了显着性检测的准确性。
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公开(公告)号：US20160042502A1
公开(公告)日：2016-02-11
申请号：US14920669
申请日：2015-10-22
Applicant: Huawei Technologies Co., Ltd.
Abstract: The present invention disclose an image enhancement method, including: calculating a central response value of a target pixel based on an original pixel value of the target pixel; calculating a first total suppression value of the target pixel, where the values of suppression to the target pixel from the neighborhood pixels refer to values representing suppression effects imposed by the neighborhood pixels on the target pixel; and when the central response value is greater than the first total suppression value, subtracting the first total suppression value from the central response value, to obtain a difference, and using the difference as a pixel value of the target pixel after image enhancement; or when the central response value is less than the first total suppression value, using a value 0 as a pixel value of the target pixel after image enhancement.
Abstract translation: 本发明公开了一种图像增强方法，包括：基于目标像素的原始像素值计算目标像素的中心响应值; 计算目标像素的第一总抑制值，其中来自邻近像素的对目标像素的抑制值是指表示邻近像素对目标像素施加的抑制效果的值; 并且当所述中央响应值大于所述第一总抑制值时，从所述中央响应值减去所述第一总抑制值以获得差，并且使用所述差作为图像增强之后的所述目标像素的像素值; 或者当中央响应值小于第一总抑制值时，使用值0作为图像增强之后的目标像素的像素值。
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