Abstract:
A control method of an electronic device with an image capture function is provided. The control method includes the following steps: detecting a distance between the electronic device and at least one subject in a scene to be captured to generate a distance detection result; and utilizing a controller for referring to the distance detection result to determine whether to turn on or turn off a flashlight of the electronic device to capture the scene.
Abstract:
A control method of an electronic device with an image capture function is provided. The control method includes the following steps: detecting a distance between the electronic device and at least one subject in a scene to be captured to generate a distance detection result; and utilizing a controller for referring to the distance detection result to determine whether to turn on or turn off a flashlight of the electronic device to capture the scene.
Abstract:
One video coding method includes at least the following steps: utilizing a visual quality evaluation module for evaluating visual quality based on data involved in a coding loop; and referring to at least the evaluated visual quality for performing sample adaptive offset (SAO) filtering. Another video coding method includes at least the following steps: utilizing a visual quality evaluation module for evaluating visual quality based on data involved in a coding loop; and referring to at least the evaluated visual quality for deciding a target coding parameter associated with sample adaptive offset (SAO) filtering.
Abstract:
An image processing method comprising: (a) acquiring a first depth value for a first object in a first image; and (b) altering image effect for the first object according the first depth value when the first object is pasted onto a second image.
Abstract:
Methods and apparatuses pertaining to adaptive power saving for multi-frame processing may involve monitoring for at least one condition associated with an apparatus. In response to a result of the monitoring, image processing performed on a plurality of input image frames may be dynamically adjusted to provide one or more output image frames.
Abstract:
An image processing method comprising: (a) acquiring a first depth value for a first object in a first image; and (b) altering image effect for the first object according the first depth value when the first object is pasted onto a second image.
Abstract:
A video frame processing method, which comprises: (a) capturing at least two video frames via a multi-view camera system comprising a plurality of cameras; (b) recording timestamps for each the video frame; (c) determining a major camera and a first sub camera out of the multi-view camera system, based on the timestamps, wherein the major camera captures a major video sequence comprising at least one major video frame, the first sub camera captures a video sequence of first view comprising at least one video frame of first view; (d) generating a first reference video frame of first view according to one first reference major video frame of the major video frames, which is at a reference timestamp corresponding to the first reference video frame of first view, and according to at least one the video frame of first view surrounding the reference timestamp; and (e) generating a multi-view video sequence comprising a first multi-view video frame, wherein the first multi-view video frame is generated based on the first reference video frame of first view and the first reference major video frame.
Abstract:
One exemplary video coding method includes at least the following steps: utilizing a visual quality evaluation module for evaluating visual quality based on data involved in a coding loop; and referring to at least the evaluated visual quality for deciding a target configuration of at least one of a coding unit, a transform unit and a prediction unit. Another exemplary video coding method includes at least the following steps: utilizing a visual quality evaluation module for evaluating visual quality based on data involved in a coding loop; and referring to at least the evaluated visual quality for deciding a target coding parameter associated with at least one of a coding unit, a transform unit and a prediction unit in video coding.
Abstract:
An image capture device has an image capture module and a controller. The image capture module is used for capturing a plurality of consecutive preview images under an automatic shot mode. In addition, the image capture module can be a multi-view image capture module, which is used to capture a plurality of multiple-angle preview images. The controller is used for analyzing the preview images to identify an image capture quality metric index, and determining if a target image capture condition is met by referring to at least the image capture quality metric index. A captured image for the automatic shot mode is stored when the controller determines that the target image capture condition is met.
Abstract:
One image processing method has at least the following steps: receiving an image input in a device, wherein the image input is composed of at least one source image; receiving image selection information; regarding a source image included in the image input, checking the image selection information to determine whether the source image is selected or skipped; and performing an object oriented image processing operation upon each selected source image. Another image processing method has at least the following steps: receiving an image input in a device, wherein the image input is composed of at least one source image; receiving algorithm selection information; and regarding a source image included in the image input, checking the algorithm selection information to determine a selected image processing algorithm from a plurality of different image processing algorithms, and performing an image processing operation upon the source image based on the selected image processing algorithm.