Abstract: An image resizing method includes at least the following steps: receiving at least one input image; performing an image content analysis upon at least one image selected from the at least one input image to obtain an image content analysis result; and creating a target image with a target image resolution by scaling the at least one input image according to the image content analysis result, wherein the target image resolution is different from an image resolution of the at least one input image.

Abstract: A method for setting a plurality of blocks as an in-system programming area and a data buffer area includes generating a plurality of select signals; setting some blocks of the plurality of blocks as blocks of the in-system programming area and other blocks of the plurality of blocks as blocks of the data buffer area according to the plurality of select signals.

Abstract: 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.

Abstract: A method of processing a plurality of video frames includes: obtaining image registration information of the video frames, wherein the image registration information is used to transform different video frames into one coordinate system; and searching for a plurality of target video frames corresponding to a selected scene among the video frames by using the image registration information. A playback method of a video stream includes: receiving a playback request for a selected scene; searching the video stream for target video frames corresponding to image registration information of the selected scene, wherein the image registration information is used to transform different video frames into one coordinate system; and performing a playback operation according to the target video frames found in the video stream.

Abstract: A video encoding method includes: receiving a plurality of video data inputs corresponding to a plurality of video display formats, respectively, wherein the video display formats include a first three-dimensional (3D) anaglyph video; generating a combined video data by combining video contents derived from the video data inputs; and generating an encoded video data by encoding the combined video data. A video decoding method includes: receiving an encoded video data having encoded video contents of a plurality of video data inputs combined therein, wherein the video data inputs correspond to a plurality of video display formats, respectively, and the video display formats include a first three-dimensional (3D) anaglyph video; and generating a decoded video data by decoding the encoded video data.

Abstract: 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.

Abstract: An exemplary image processing method includes obtaining disparity information, and generating output image data by performing an image processing operation upon input image data according to the disparity information. An exemplary image processing apparatus includes a disparity information acquisition circuit and an image processing circuit. The disparity information acquisition circuit is arranged for obtaining disparity information. The image processing circuit is coupled to the disparity information acquisition circuit, and arranged for generating output image data by processing input image data according to the disparity information.

Abstract: A method for reducing complexity of a computer vision system and applying related computer vision applications includes: obtaining instruction information, wherein the instruction information is used for a computer vision application; obtaining image data from a camera module and defining at least one region of recognition corresponding to the image data by user gesture input on a touch-sensitive display; outputting a recognition result of the aforementioned at least one region of recognition; and searching at least one database according to the recognition result. Associated apparatus are also provided.

Abstract: The present invention discloses a dithering method and related apparatus that uses the tiling rule of Wang Tiles. The disclosed method includes the following steps: providing a plurality of dithering tiles, wherein each of the plurality of dithering tiles corresponds to a threshold array; generating at least one dithering mask with the plurality of dithering tiles according to the tiling rule of Wang Tiles; and comparing the pixel values of the image with corresponding threshold values of the dithering mask on a pixel-by-pixel basis to generate a halftone image of the image.