Mediatek Corporation

Mediatek Incorporation

Cheng-Tsai Ho

Ding-Yun Chen

Chi-Cheng Ju

Chung-Hung Tsai

Po-Hao Huang

Yuan-Chung Lee

Chia-Ming Cheng

Guo-Feng Wei

An exemplary image processing method includes the following steps: receiving an image input composed of at least one source image; receiving algorithm selection information corresponding to each source image; checking corresponding algorithm selection information of each source image to determine a selected image processing algorithm from a plurality of different image processing algorithms; and performing an object oriented image processing operation upon the source image based on the selected image processing algorithm. The algorithm selection information indicates an image quality of each source image and is generated from one of an auxiliary sensor, an image processing module of an image capture apparatus, a processing circuit being one of a video decoder, a frame rate converter, and an audio/video synchronization (AV-Sync) module, or is a user-defined mode setting.

Method and apparatus for performing image processing operation based on frame/algorithm selection

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 motion estimation. 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 motion estimation.

Video coding method using at least evaluated visual quality and related video coding apparatus

An image-based motion sensor has a camera system and a processing system. The camera system generates an image output including a plurality of captured images. The processing system obtains a motion sensor output by processing the image output, and identifies a user input as one of a plurality of pre-defined user actions according to the motion sensor output. Different functions of at least one application performed by one electronic device are controlled by the pre-defined user actions. The motion sensor output includes information indicative of at least one of a motion status and an orientation status of the image-based motion sensor. Each of the captured images has more than one color component, and only values of one single color component are involved in obtaining the motion sensor output.

Image-based motion sensor and related multi-purpose camera system

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.

Electronic device having dynamically controlled flashlight for image capturing and related control method

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.

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.

A video frame processing method, which comprises: (a) capturing at least one first video frame via a first camera; (b) capturing at least one second video frame via a second camera; and (c) adjusting one candidate second video frame of the second video frames based on one of the first video frame to generate a target single view video frame.

Video frame processing method

A method for performing multi-camera capturing control of an electronic device and an associated apparatus are provided, where the method can be applied to the electronic device. The method may include the steps of: obtaining a plurality of preview images, wherein the plurality of preview images are generated by using at least one lens module of the electronic device; generating at least one distance-related index according to characteristics of the plurality of preview images; and according to the aforementioned at least one distance-related index, selectively controlling whether to allow multi-camera capturing or controlling whether to output warning information. For example, when it is detected that a specific distance-related index within the aforementioned at least one distance-related index falls within a predetermined range, a notification which indicates that a multi-camera capturing function of the electronic device is allowed to be triggered may be output, in order to guarantee the overall performance.

Method for performing multi-camera capturing control of an electronic device, and associated apparatus

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 de-blocking 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 de-blocking filtering.

A 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 bit allocation of a rate-controlled unit in video coding. Besides, a video coding apparatus has a visual quality evaluation module, a rate controller and a coding circuit. The visual quality evaluation module evaluates visual quality based on data involved in a coding loop. The rate controller refers to at least the evaluated visual quality for deciding a target bit allocation of a rate-controlled unit. The coding circuit has the coding loop included therein, and encodes the rate-controlled unit according to the target bit allocation.

A preview system of an image capture apparatus has a processing circuit and a display apparatus. The processing circuit reads an input image, scales at least a portion of the input image to generate a first preview image, and derives a second preview image from a selected portion of the input image. The display apparatus displays the first preview image and the second preview image, concurrently. Besides, a preview method for an image capture apparatus includes at least the following steps: reading an input image; scaling at least a portion of the input image to generate a first preview image; deriving a second preview image from a selected portion of the input image; and displaying the first preview image and the second preview image on a display apparatus, concurrently.

Preview system for concurrently displaying multiple preview images generated based on input image generated by image capture apparatus and related preview method thereof

A method and computer readable medium storing a corresponding computer program for decoding a video bitstream based on processors using dynamic load balancing are disclosed. In one embodiment of the present invention, the method configures multiple processors to perform the multiple processing modules including a prediction module by mapping the multiple processing modules to the multiple processors. One or more buffer queues are used among said multiple processing modules and the mapping the prediction module to the multiple processors is based on the level of the buffer queue. The multiple processors may correspond to a multi-core Central Processing Unit (CPU) comprising of multiple CPUs or a multi-core Digital Signal Processor (DSP) comprising of multiple DSPs to practice the present invention.

Dynamic load balancing for video decoding using multiple processors

An image-based motion sensor includes a camera system and a processing system. The camera system is arranged for generating an image output including a plurality of captured images. The processing system is arranged for obtaining a motion sensor output by processing the image output, wherein the motion sensor output includes information indicative of at least one of a motion status and an orientation status of the image-based motion sensor. For example, information indicative of the orientation status of the image-based motion sensor may includes roll, pitch, and yaw related motion information, and information indicative of the motion status of the image-based motion sensor may includes speed, acceleration and displacement information.

An exemplary video recording method of recording an output video sequence for an image capture module includes at least the following steps: deriving a first video sequence from an input video sequence generated by the image capture module, wherein the first video sequence is composed of a plurality of video frames; calculating an image quality metric value for each of the video frames of the first video sequence; referring to the image quality metric value to select or drop each of the video frames of the first video sequence, and accordingly obtaining a second video sequence composed of selected video frames; and generating the recorded output video sequence according to the second video sequence.

Video recording method of recording output video sequence for image capture module and related video recording apparatus thereof

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.

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Taichung, Taiwan

Cheng-Tsai Ho