Abstract:
Techniques are disclosed for estimating quality of images in an automated fashion. According to these techniques, a source image may be downsampled to generate at least two downsampled images at different levels of downsampling. Blurriness of the images may be estimated starting with a most-heavily downsampled image. Blocks of a given image may be evaluated for blurriness and, when a block of a given image is estimated to be blurry, the block of the image and co-located blocks of higher resolution image(s) may be designated as blurry. Thereafter, a blurriness score may be calculated for the source image from the number of blocks of the source image designated as blurry.
Abstract:
A system for processing media on a resource restricted device, the system including a memory to store data representing media assets and associated descriptors, and program instructions representing an application and a media processing system, and a processor to execute the program instructions, wherein the program instructions represent the media processing system, in response to a call from an application defining a plurality of services to be performed on an asset, determine a tiered schedule of processing operations to be performed upon the asset based on a processing budget associated therewith, and iteratively execute the processing operations on a tier-by-tier basis, unless interrupted.
Abstract:
Techniques for cropping images containing an occlusion are presented. A method for image editing is presented comprising, when an occlusion is detected in an original digital image, determining an area occupied by the occlusion, assigning importance scores to different content elements of the original digital image, defining a cropping window around an area of the original digital image that does not include the area occupied by the occlusion and that is based on the importance scores, and cropping the original digital image to the cropping window.
Abstract:
Chroma deblock filtering of reconstructed video samples may be performed to remove blockiness artifacts and reduce color artifacts without over-smoothing. In a first method, chroma deblocking may be performed for boundary samples of a smallest transform size, regardless of partitions and coding modes. In a second method, chroma deblocking may be performed when a boundary strength is greater than 0. In a third method, chroma deblocking may be performed regardless of boundary strengths. In a fourth method, the type of chroma deblocking to be performed may be signaled in a slice header by a flag. Furthermore, luma deblock filtering techniques may be applied to chroma deblock filtering.
Abstract:
The invention is directed to an efficient way for encoding and decoding video. Embodiments include identifying different coding units that share a similar characteristic. The characteristic can be, for example: quantization values, modes, block sizes, color space, motion vectors, depth, facial and non-facial regions, and filter values. An encoder may then group the units together as a coherence group. An encoder may similarly create a table or other data structure of the coding units. An encoder may then extract the commonly repeating characteristic or attribute from the coding units. The encoder may transmit the coherence groups along with the data structure, and other coding units which were not part of a coherence group. The decoder may receive the data, and utilize the shared characteristic by storing locally in cache, for faster repeated decoding, and decode the coherence group together.