Abstract: An apparatus and a method for outputting image data, and an electronic device are provided. The apparatus includes a first parameter setter, an image signal processor, and an encoder, wherein the first parameter setter sets a first configuration parameter for the image signal processor based on a complexity associated with an input image frame, wherein the image signal processor performs an image signal processing on at least one image frame to generate processed image data based on the first configuration parameter, wherein the encoder performs encoding processing on the processed image data to generate encoded image data. The apparatus and the method for outputting image data, and the electronic device of the present disclosure adjust parameters of the image signal processor and the encoder according to the complexity associated with an input image frame, thereby effectively improving the overall performance of image processing, encoding and compression.

Abstract: The present disclosure provides a multi-queue multi-cluster task scheduling method and system. The method includes: constructing a training data set; training and optimizing a plurality of parallel deep neural networks (DNN) by using the training data set to obtain a plurality of trained and optimized parallel DNNs; setting a reward function, where the reward function minimizes the sum of a task delay and energy consumption by adjusting a reward value proportion of the task delay and a reward value proportion of the energy consumption; inputting a to-be-scheduled state space into the plurality of trained and optimized parallel DNNs to obtain a plurality of to-be-scheduled action decisions; determining an optimal action decision among the plurality of to-be-scheduled action decisions based on the reward function for output; and scheduling the plurality of task attribute groups to a plurality of clusters based on the optimal action decision.

Abstract: An H.265 encoding device is described. The encoding device may include a preprocessing module; a coarse selection module; and a precise comparison module. The preprocessing module is configured to divide a current frame from an original video into multiple CTU blocks. The coarse selection module is configured to divide a CTU block based on multiple partition modes, and perform inter-prediction and intra-prediction and generate a prediction information corresponding to the partition modes. The precise comparison module is configured to perform cost comparison, select a partition mode with the lowest cost, generate entropy coding information and reconstruction information based on the selected partition mode and its corresponding encoding information.

Abstract: An H.265 encoding device is described. The encoding device may include a preprocessing module; a coarse selection module; and a precise comparison module. The preprocessing module is configured to divide a current frame from an original video into multiple CTU blocks. The coarse selection module is configured to divide a CTU block based on multiple partition modes, and perform inter-prediction and intra-prediction and generate a prediction information corresponding to the partition modes. The precise comparison module is configured to perform cost comparison, select a partition mode with the lowest cost, generate entropy coding information and reconstruction information based on the selected partition mode and its corresponding encoding information.