公开(公告)号：US20190213420A1

公开(公告)日：2019-07-11

申请号：US15965665

申请日：2018-04-27

Applicant: QUALCOMM Incorporated

Inventor： Ronald KARYODISA ,  Pengjun HUANG

IPC: G06K9/00 ,  G06T3/40

Abstract: Techniques and systems are provided for performing object recognition for video frames. For example, one or more video frames of a first video are obtained. The one or more video frames have a first resolution and include one or more objects. The one or more objects are detected in the one or more video frames of the first video based on object detection being performed on the one or more video frames. One or more video frames of a second video are also obtained. The one or more video frames of the second video also include the one or more objects and have a second resolution that is greater than the first resolution. An object recognition process is performed on the one or more video frames of the second video to recognize or identify the one or more objects detected in the one or more video frames of the first video. In some cases, feedback associated with the object detection and/or the object recognition process can be obtained, and a resolution of the first video and/or a resolution of the second video can be adjusted based on the feedback.

公开(公告)号：US20190065895A1

公开(公告)日：2019-02-28

申请号：US16107879

申请日：2018-08-21

Applicant: QUALCOMM Incorporated

Inventor： Lei WANG ,  Ning BI ,  Ronald KARYODISA ,  Ying CHEN

IPC: G06K9/62 ,  G06K9/00 ,  G06T7/246

Abstract: Techniques and systems are provided for prioritizing objects for object recognition in one or more video frames. For example, a current video frame is obtained, and a objects are detected in the current video frame. State information associated with the objects is determined. Priorities for the objects can also be determined. For example, a priority can be determined for an object based on state information associated with the object. Object recognition is performed for at least one object from the objects based on priorities determined for the at least one object. For instance, object recognition can be performed for objects having higher priorities before objects having lower priorities.