Abstract: A system and method for providing high resolution image through super-resolution reconstruction. The system comprises a frame buffer, a convolutional neural network module, an image processing module, and a bi-directional prediction module. After the frame buffer has received high-resolution image with low frames per second and low-resolution image with high frames per second, both are captured by an image capturing module, image processing with super-resolution reconstruction can be performed through the cooperation of the convolutional neural network module, the image processing module and the bi-directional prediction module. In other words, a frame with super-resolution can be calculated through a well-trained convolutional neural network.

Abstract: A system and method for providing high resolution image through super-resolution reconstruction. The system comprises a frame buffer, a convolutional neural network module, an image processing module, and a bi-directional prediction module. After the frame buffer has received high-resolution image with low frames per second and low-resolution image with high frames per second, both are captured by an image capturing module, image processing with super-resolution reconstruction can be performed through the cooperation of the convolutional neural network module, the image processing module and the bi-directional prediction module. In other words, a frame with super-resolution can be calculated through a well-trained convolutional neural network.

Abstract: Segmentation-based techniques to display video content highlighting a subject of interest are disclosed. In various embodiments, visual content data comprising a frame of video content or a single image data is received. For each of at least a subsets of pixels comprising the visual content data a probability that the pixel is associated with an object of interest is determined. A likelihood map that identifies portions of the visual content data determined to be associated with the object of interest is determined for the visual content data based at least in part on said pixel-level probabilities. A mask layer configured to be combined with the visual content data to provide a modified visual content data in which the object of interest is highlighted is generated based at least in part on the likelihood map.