-
公开(公告)号：US09607015B2
公开(公告)日：2017-03-28
申请号：US14575986
申请日：2014-12-18
Applicant: QUALCOMM Incorporated
IPC: G06K9/00 , G06F17/30 , G06F17/27 , G06T7/00 , G06K9/22 , G06K9/32 , G06T7/20 , G06F3/0484 , G06F3/0488 , G06T11/00 , G06T11/60
CPC classification number: G06F17/30268 , G06F3/04842 , G06F3/0488 , G06F17/2765 , G06F17/30271 , G06F17/30705 , G06F17/3079 , G06F17/30817 , G06F17/30831 , G06F17/30867 , G06K9/00664 , G06K9/00671 , G06K9/00711 , G06K9/22 , G06K9/3241 , G06T7/20 , G06T7/70 , G06T11/00 , G06T11/60 , G06T2207/10004 , G06T2207/10016 , G06T2207/20076
Abstract: A method of generating metadata includes using at least one digital image to select a plurality of objects, wherein the at least one digital image depicts the plurality of objects in relation to a physical space. The method also includes, by at least one processor and based on information indicating positions of the selected objects in a location space, producing metadata that identifies one among a plurality of candidate geometrical arrangements of the selected objects.
-
公开(公告)号：US09582726B2
公开(公告)日：2017-02-28
申请号：US14749387
申请日：2015-06-24
Applicant: QUALCOMM Incorporated
Inventor： Yunke Pan , Dashan Gao , Xin Zhong , Shuxue Quan
CPC classification number: G06K9/00986 , G06K9/4623 , G06K9/6273 , G06N3/0454 , G06T5/20
Abstract: A method performed by an electronic device is described. The method includes interleaving multiple input image channels to produce an interleaved multi-channel input. The method also includes loading the interleaved multi-channel input to a single-instruction multiple data (SIMD) processor. The method further includes convolving the interleaved multi-channel input with a multi-channel filter.
Abstract translation: 描述由电子设备执行的方法。 该方法包括交织多个输入图像通道以产生交织的多通道输入。 该方法还包括将交织的多通道输入加载到单指令多数据（SIMD）处理器。 该方法还包括用交错多通道输入与多通道滤波器进行卷积。
-
23.发明授权Systems and methods for object classification, object detection and memory management 有权对象分类，对象检测和内存管理的系统和方法公开(公告)号：US09489598B2
公开(公告)日：2016-11-08
申请号：US14609104
申请日：2015-01-29
Applicant: QUALCOMM Incorporated
Inventor： Dashan Gao , Yang Yang , Xin Zhong , Yingyong Qi
CPC classification number: G06K9/6269 , G06K9/4604 , G06N7/00 , G06N99/005
Abstract: A method for object classification by an electronic device is described. The method includes obtaining an image frame that includes an object. The method also includes determining samples from the image frame. Each of the samples represents a multidimensional feature vector. The method further includes adding the samples to a training set for the image frame. The method additionally includes pruning one or more samples from the training set to produce a pruned training set. One or more non-support vector negative samples are pruned first. One or more non-support vector positive samples are pruned second if necessary to avoid exceeding a sample number threshold. One or more support vector samples are pruned third if necessary to avoid exceeding the sample number threshold. The method also includes updating classifier model weights based on the pruned training set.
Abstract translation: 描述了一种通过电子设备进行物体分类的方法。 该方法包括获得包括对象的图像帧。 该方法还包括从图像帧确定样本。 每个样本表示多维特征向量。 该方法还包括将样本添加到图像帧的训练集合中。 该方法还包括从训练集修剪一个或多个样本以产生修剪的训练集。 首先修剪一个或多个非支持向量负样本。 如果必要，一个或多个非支持向量阳性样本被修剪，以避免超过样本数阈值。 如果需要，一个或多个支持向量样本被修剪为第三，以避免超过样本数阈值。 该方法还包括基于修剪的训练集更新分类器模型权重。
-
公开(公告)号：US20160267325A1
公开(公告)日：2016-09-15
申请号：US14792436
申请日：2015-07-06
Applicant: QUALCOMM Incorporated
Inventor： Sairam Sundaresan , Dashan Gao , Xin Zhong , Yingyong Qi
CPC classification number: G06K9/00624 , G06K9/46 , G06K9/52 , G06K2009/4666 , G06T7/215 , G06T2207/10016 , G06T2210/12
Abstract: A method performed by an electronic device is described. The method includes determining a local motion pattern by determining a set of local motion vectors within a region of interest between a previous frame and a current frame. The method also includes determining a global motion pattern by determining a set of global motion vectors between the previous frame and the current frame. The method further includes calculating a separation metric based on the local motion pattern and the global motion pattern. The separation metric indicates a motion difference between the local motion pattern and the global motion pattern. The method additionally includes tracking an object based on the separation metric.
Abstract translation: 描述由电子设备执行的方法。 该方法包括通过确定在先前帧和当前帧之间的感兴趣区域内的一组局部运动矢量来确定局部运动模式。 该方法还包括通过确定前一帧和当前帧之间的一组全局运动矢量来确定全局运动模式。 该方法还包括基于局部运动模式和全局运动模式来计算分离度量。 分离度量指示局部运动模式和全局运动模式之间的运动差异。 该方法还包括基于分离度量跟踪对象。
-
公开(公告)号：US20160063727A1
公开(公告)日：2016-03-03
申请号：US14624291
申请日：2015-02-17
Applicant: QUALCOMM Incorporated
Inventor： Dashan Gao , Xin Zhong , Ananthapadmanabhan Arasanipalai Kandhadai
CPC classification number: G06T7/20 , G06K9/00335 , G06K9/00771 , G06K9/3241 , G06K9/4642 , G06T7/207 , G06T7/248 , G06T2207/10016 , G06T2207/20016
Abstract: A method for image scanning by an electronic device is described. The method includes obtaining an image pyramid including a plurality of scale levels and at least a first pyramid level for a frame. The method also includes providing a scanning window. The method further includes scanning at least two of the plurality of scale levels of the frame at a plurality of scanning window locations. A number of scanning window locations is equal for each scale level of the at least two scale levels of the first pyramid level.
Abstract translation: 描述了一种通过电子设备进行图像扫描的方法。 该方法包括获得包括多个缩放级别和至少一帧的第一金字塔级别的图像金字塔。 该方法还包括提供扫描窗口。 该方法还包括在多个扫描窗口位置扫描帧的多个刻度级中的至少两个。 多个扫描窗口位置对于第一金字塔级别的至少两个缩放级别的每个缩放级别是相等的。
-
Patent Agency Ranking
26.发明申请SYSTEMS AND METHODS FOR OBJECT CLASSIFICATION, OBJECT DETECTION AND MEMORY MANAGEMENT 有权用于对象分类，对象检测和内存管理的系统和方法公开(公告)号：US20160063357A1
公开(公告)日：2016-03-03
申请号：US14609104
申请日：2015-01-29
Applicant: QUALCOMM Incorporated
Inventor： Dashan Gao , Yang Yang , Xin Zhong , Yingyong Qi
CPC classification number: G06K9/6269 , G06K9/4604 , G06N7/00 , G06N99/005
Abstract: A method for object classification by an electronic device is described. The method includes obtaining an image frame that includes an object. The method also includes determining samples from the image frame. Each of the samples represents a multidimensional feature vector. The method further includes adding the samples to a training set for the image frame. The method additionally includes pruning one or more samples from the training set to produce a pruned training set. One or more non-support vector negative samples are pruned first. One or more non-support vector positive samples are pruned second if necessary to avoid exceeding a sample number threshold. One or more support vector samples are pruned third if necessary to avoid exceeding the sample number threshold. The method also includes updating classifier model weights based on the pruned training set.
Abstract translation: 描述了一种通过电子设备进行物体分类的方法。 该方法包括获得包括对象的图像帧。 该方法还包括从图像帧确定样本。 每个样本表示多维特征向量。 该方法还包括将样本添加到图像帧的训练集合中。 该方法还包括从训练集修剪一个或多个样本以产生修剪的训练集。 首先修剪一个或多个非支持向量负样本。 如果必要，一个或多个非支持向量阳性样本被修剪，以避免超过样本数阈值。 如果需要，一个或多个支持向量样本被修剪为第三，以避免超过样本数阈值。 该方法还包括基于修剪的训练集更新分类器模型权重。
-
公开(公告)号：US20150178931A1
公开(公告)日：2015-06-25
申请号：US14575986
申请日：2014-12-18
Applicant: QUALCOMM Incorporated
Inventor： Dashan Gao , Xin Zhong , Ananthapadmanabhan Arasanipalai Kandhadai , Scott Beith , Steven Douglas Laver
CPC classification number: G06F17/30268 , G06F3/04842 , G06F3/0488 , G06F17/2765 , G06F17/30271 , G06F17/30705 , G06F17/3079 , G06F17/30817 , G06F17/30831 , G06F17/30867 , G06K9/00664 , G06K9/00671 , G06K9/00711 , G06K9/22 , G06K9/3241 , G06T7/20 , G06T7/70 , G06T11/00 , G06T11/60 , G06T2207/10004 , G06T2207/10016 , G06T2207/20076
Abstract: A method of generating metadata includes using at least one digital image to select a plurality of objects, wherein the at least one digital image depicts the plurality of objects in relation to a physical space. The method also includes, by at least one processor and based on information indicating positions of the selected objects in a location space, producing metadata that identifies one among a plurality of candidate geometrical arrangements of the selected objects.
Abstract translation: 生成元数据的方法包括使用至少一个数字图像来选择多个对象，其中所述至少一个数字图像描绘与物理空间相关的多个对象。 该方法还包括至少一个处理器并且基于指示位置空间中所选择的对象的位置的信息，产生识别所选对象的多个候选几何布置中的一个的元数据。
-
公开(公告)号：US10121256B2
公开(公告)日：2018-11-06
申请号：US15326614
申请日：2014-08-28
Applicant: QUALCOMM Incorporated , Xin Zhong , Yu Sun , Dashan Gao
Inventor： Xin Zhong , Yu Sun , Dashan Gao
Abstract: A method of generating a temporal saliency map is disclosed. In a particular embodiment, the method includes receiving an object bounding box from an object tracker. The method includes cropping a video frame based at least in part on the object bounding box to generate a cropped image. The method further includes performing spatial dual segmentation on the cropped image to generate an initial mask and performing temporal mask refinement on the initial mask to generate a refined mask. The method also includes generating a temporal saliency map based at least in part on the refined mask.
-
公开(公告)号：US20170236288A1
公开(公告)日：2017-08-17
申请号：US15042782
申请日：2016-02-12
Applicant: QUALCOMM Incorporated
Inventor： Sairam Sundaresan , Dashan Gao , Xin Zhong , Lei Zhang , Yingyong Qi
CPC classification number: G06T7/11 , G06T7/0081 , G06T7/20 , G06T7/215 , G06T2207/10024 , G06T2207/20101
Abstract: A method for determining a region of an image is described. The method includes presenting an image of a scene including one or more objects. The method also includes receiving an input selecting a single point on the image corresponding to a target object. The method further includes obtaining a motion mask based on the image. The motion mask indicates a local motion section and a global motion section of the image. The method further includes determining a region in the image based on the selected point and the motion mask.
-
公开(公告)号：US20170094184A1
公开(公告)日：2017-03-30
申请号：US14991698
申请日：2016-01-08
Applicant: QUALCOMM Incorporated
Inventor： Jinglun Gao , Dashan Gao , Xin Zhong , Yingyong Qi
CPC classification number: H04N5/23296 , G01S3/00 , G01S3/7864 , G01S5/16 , G06T7/20 , G06T7/337 , G06T7/74 , H04N5/23222 , H04N5/23258 , H04N5/2328
Abstract: An electronic device is described. The electronic device includes a processor. The processor is configured to obtain a plurality of images. The processor is also configured to obtain global motion information indicating global motion between at least two of the plurality of images. The processor is further configured to obtain object tracking information indicating motion of a tracked object between the at least two of the plurality of images. The processor is additionally configured to perform automatic zoom based on the global motion information and the object tracking information. Performing automatic zoom produces a zoom region including the tracked object. The processor is configured to determine a motion response speed for the zoom region based on a location of the tracked object within the zoom region.
-
-
-
-
-
-
-
-
-
Search Results
45
records
(took 0.028 seconds)
