公开(公告)号：US20180005387A1

公开(公告)日：2018-01-04

申请号：US15200567

申请日：2016-07-01

Applicant: INTEL CORPORATION

Inventor： Yeongseon Lee ,  Nilesh A. Ahuja ,  Mahesh Subedar ,  Jorge E. Caviedes

IPC: G06T7/269 ,  G06T3/40 ,  H04N1/48 ,  H04N19/182

CPC classification number: G06T7/269 ,  G06T2207/10016 ,  H04N19/102 ,  H04N19/137 ,  H04N19/14 ,  H04N19/17 ,  H04N19/182 ,  H04N19/51

Abstract: Techniques are provided for detection and location of active display regions in videos with static borders. A methodology implementing the techniques according to an embodiment includes extracting features from rows and columns of pixels of a video frame. The features are based on horizontal gradient runs (HGRs) and vertical gradient runs (VGRs). The method also includes detecting one or more static regions of the frame, based on a comparison of differences between the features of the current video frame and features extracted from a previous video frame. The method further includes detecting one or more boundaries of the static regions based on a location of a maximum value of one of the features within the static region, if the maximum value is greater than a boundary detection threshold value. Determination of the active region in the current video frame is based on exclusion of the detected static regions.

公开(公告)号：US10438088B2

公开(公告)日：2019-10-08

申请号：US15372508

申请日：2016-12-08

Applicant: INTEL CORPORATION

Inventor： Mi Sun Park ,  Yeongseon Lee ,  Omesh Tickoo

IPC: G06K9/46

Abstract: An electronic device for visual-saliency driven scene description is described. The electronic device includes a property identifier to identify properties of a target platform. The properties include target platform device type and target platform device count. The electronic device also includes a salient region detector to detect a salient region of an input in response to the target platform device type being a graphical processing unit (GPU) and the target platform device count being above one. The electronic device further includes a description provider to provide a fine-grained scene description for the salient region.

公开(公告)号：US20180165539A1

公开(公告)日：2018-06-14

申请号：US15372508

申请日：2016-12-08

Applicant: INTEL CORPORATION

Inventor： Mi Sun Park ,  Yeongseon Lee ,  Omesh Tickoo

IPC: G06K9/46 ,  G06T1/20

CPC classification number: G06K9/4671

Abstract: An electronic device for visual-saliency driven scene description is described. The electronic device includes a property identifier to identify properties of a target platform. The properties include target platform device type and target platform device count. The electronic device also includes a salient region detector to detect a salient region of an input in response to the target platform device type being a graphical processing unit (GPU) and the target platform device count being above one. The electronic device further includes a description provider to provide a fine-grained scene description for the salient region.

公开(公告)号：US10360687B2

公开(公告)日：2019-07-23

申请号：US15200567

申请日：2016-07-01

Applicant: INTEL CORPORATION

Inventor： Yeongseon Lee ,  Nilesh A. Ahuja ,  Mahesh Subedar ,  Jorge E. Caviedes

IPC: G06T7/269 ,  H04N19/182 ,  H04N19/51 ,  H04N19/102 ,  H04N19/14 ,  H04N19/137 ,  H04N19/17

Abstract: Techniques are provided for detection and location of active display regions in videos with static borders. A methodology implementing the techniques according to an embodiment includes extracting features from rows and columns of pixels of a video frame. The features are based on horizontal gradient runs (HGRs) and vertical gradient runs (VGRs). The method also includes detecting one or more static regions of the frame, based on a comparison of differences between the features of the current video frame and features extracted from a previous video frame. The method further includes detecting one or more boundaries of the static regions based on a location of a maximum value of one of the features within the static region, if the maximum value is greater than a boundary detection threshold value. Determination of the active region in the current video frame is based on exclusion of the detected static regions.