Qualcomm Incorporated

Wan Shun Vincent Ma

Shizhong Liu

Karthikeyan Shanmugavadivelu

Hung-Hsin Wu

Adarsh Abhay Golikeri

Lei Ma

Pengjun Huang

Narayana Karthik Sadanandam Ravirala

Fan Deng

Hailong Wang

In general, techniques are described regarding adaptation of image capture modes to provide refined image capture capabilities. Cameras comprising image sensors configured to perform the techniques are also disclosed. An image sensor may use different image capture modes to capture frames of image data based at least in part on various operating conditions. For example, the processor can cause an image sensor to transition between image capture modes specifying different binning levels in the case that a digital zoom level satisfies a predefined threshold.

Image capture mode adaptation

Systems, devices, and methods of displaying and/or recording multiple pictures in a picture (PIP) on the same display of a digital display device are disclosed. The PIPs can show objects from the main field view of the display device, such as a front camera lens, as well as objects from a different field of view, such as a back camera lens. The PIPs can further track the objects that are being displayed.

Systems, devices and methods for displaying pictures in a picture

Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. In some aspects, if the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.

Method and apparatus for unattended image capture

Described is a method and apparatus for unattended image capture that can identify subjects or faces within an image captured with an image sensor. The methods and apparatus may then score the image based, at least in part, on scores of detected subjects or faces in the image, scores of facial expressions, a focus score, exposure score, stability score, or audio score. If the score of the image is above a threshold, a snapshot image may be stored to a data store on the imaging device. If the score of the image is below a threshold, one or more audible prompts may be generated indicating that subjects should change positions, smile or remain more still during the image capture process.

Described herein are methods and devices that employ a dual shutter button feature associated with an image capture device to recommend a capture mode to a user based on one or more parameters analyzed by the image capture system. As described, providing a primary shutter button and a secondary shutter button enables the user to capture in both a standard capture mode by using the primary shutter button and in an alternate mode by using a secondary shutter button.

Growing community of inventors

San Diego, CA, United States of America

Wan Shun Vincent Ma