A load balancing method for video decoding. The load balancing includes first determining which hardware devices are suitable for the new decoding process, and determining the current load of each of the suitable hardware devices. From the suitable devices potential devices are selected having a current load less than a threshold and overloaded devices are selected having a load greater than or equal to the threshold. If there are no suitable devices, then the decoding process is implemented by software decoding. If the list of potential hardware devices includes only one potential hardware device, then the decoding process is implemented on the hardware device. If the list of potential hardware devices includes more than one potential hardware device, then it is determined how many decoding processes are currently running on each potential hardware device, and the new decoding process is implemented on the potential hardware device having the fewest processes.

A method for intra prediction of a current block of a picture is provided. The method includes obtaining an aspect ratio of the current block according to a width and a height of the current block; obtaining a weighting factor based on the aspect ratio, and determining an intra-prediction value of the current block based on the weighting factor. Intra-prediction value of a current block may be obtained with high accuracy or low computational complexity, so as to improve coding efficiency.

The present invention concerns a hardware-friendly transform method in codecs for plenoptic point clouds. Given that existing video-based point cloud compression codec (V-PCC) is based on multimedia processor video codecs embedded in System-on-Chip (SoC) mobile devices, the remaining V-PCC steps should be as efficient as possible to ensure fair power consumption. In this sense, the method seeks to reduce the complexity of the transform, using integer transforms and imposing limits on the number of distinct transform dimensions, in which these limits are designed in order to minimize the losses of coding efficiency.

A method of displaying streamed content includes receiving streamed content from a server, decoding the streamed content, outputting the decoded streamed content for display, and estimating a degree of attention of a user on the streamed content, where the decoding step comprises decoding the content to a quality that is dependent upon the estimated degree of attention of the use.

A method of displaying streamed content includes receiving streamed content from a server, decoding the streamed content, outputting the decoded streamed content for display, and estimating a degree of attention of a user on the streamed content, where the decoding step comprises decoding the content to a quality that is dependent upon the estimated degree of attention of the use.

A method and apparatus for image compression using a latent variable are provided. The multiple components of the latent variable may be sorted in order of importance. Through sorting, when the feature information of only some of the multiple components is used, the quality of a reconstructed image may be improved. In order to generate a latent variable, the components of which are sorted in order of importance, learning may be performed in various manners. Also, less important information may be eliminated from the latent variable, and processing, such as quantization, may be applied to the latent variable. Through elimination and processing, the amount of data for the latent variable may be reduced.

A method and apparatus for image compression using a latent variable are provided. The multiple components of the latent variable may be sorted in order of importance. Through sorting, when the feature information of only some of the multiple components is used, the quality of a reconstructed image may be improved. In order to generate a latent variable, the components of which are sorted in order of importance, learning may be performed in various manners. Also, less important information may be eliminated from the latent variable, and processing, such as quantization, may be applied to the latent variable. Through elimination and processing, the amount of data for the latent variable may be reduced.

Provided are a method and device for transmitting an image. The method includes: adjusting an image compression ratio based on a current network transmission condition; performing compression processing on an image to be transmitted according to the adjusted image compression ratio to obtain a compressed image; and sending the compressed image to a viewing device side for the viewing device side to play the compressed image. The present disclosure ensures the fluency of image playback on the viewing device side, and improves the viewing experience of a user.

Provided are a method and device for transmitting an image. The method includes: adjusting an image compression ratio based on a current network transmission condition; performing compression processing on an image to be transmitted according to the adjusted image compression ratio to obtain a compressed image; and sending the compressed image to a viewing device side for the viewing device side to play the compressed image. The present disclosure ensures the fluency of image playback on the viewing device side, and improves the viewing experience of a user.

An image sensor and an image processing system in which the image sensor includes a sensing unit configured to generate a plurality of images having different luminances with respect to a same object, a pre-processor configured to merge n images (n is a natural number equal to or greater than 2) except for at least one of the plurality of images to generate a merged image, and an interface circuit configured to output the at least one image and the merged image to an external processor.