45 results about "Video assessment" patented technology

An object is to provide a video evaluation apparatus and video evaluation method capable of appropriately evaluating a video consisting of a plurality of frame images, using an objective standard. The object is achieved as follows. A reference characteristic, which is a predetermined spatio-temporal frequency characteristic about a video, is stored, and a video characteristic analyzer 101 calculates a spatio-temporal frequency characteristic of a target video consisting of a plurality of frame images. Then a video evaluation determiner 102 calculates an evaluated value of the target video, based on a relative relation between the calculated spatio-temporal frequency characteristic and the stored reference characteristic. This enables appropriate evaluation of the video.

A macroblock in a video sequence may be undecodable because the corresponding compressed data is lost or the syntax is out of synchronization. An undecodable macroblock may be concealed using error concealment technique. The level of initial visible artifacts caused by undecodable macroblocks may be estimated as a function of motion magnitude, error concealment distance, and / or residual energy. The initial visible artifacts may propagate spatially or temporally to other macroblocks through prediction. Considering both initial visible artifacts and propagated artifacts, levels of overall artifacts may be estimated for individual macroblocks. The visual quality for the video sequence can then be estimated by pooling the macroblock level artifact levels.

Described herein is a method and system for video sequence evaluation in the presence of cross-chroma interference. When the luma and chroma components in an analog video sequence are separated, the luma component may add interference to the chroma component. This is called cross-chroma interference. In the evaluation of the video sequence, the cross-chroma interference may be interpreted as motion, noise, or other artifacts. By reducing the cross-chroma interference during the evaluation, motion and noise can be identified with greater probability. The proper identification can aid motion estimators used in video coding and motion compensated temporal filtering, and it can aid video filters that do not utilize motion compensation.

The invention provides an unpopular video evaluation method and system. The unpopular video evaluation method comprises: recording the effective watching number of a pre-cooled video within a set period, the pre-cooled video being a video of which the on-demand number is smaller than a first set threshold within a set period, and the effective watching being a watching behavior that the duration of continuously watching the pre-cooled video is greater than a second set threshold; calculating a watching popularity value of the pre-cooled video according to the effective watching number of the pre-cooled video; and evaluating whether the pre-cooled video is an unpopular video according to the effective watching number and the watching popularity value of the pre-cooled video. The unpopular video evaluation method comprehensively considers the on-demand number, effective watching number and watching popularity value of a video, so that the unpopular video evaluation method can reflect thetrue degree of unpopularity of the video more objectively, the evaluation result of the unpopular video is more objective and accurate, the storage space within a node is efficiently deployed and utilized, and the pressure of the central node of a video content delivery network is reduced.

The invention discloses an objective video quality assessment method based on chromaticity co-occurrence matrix weighting. The method includes the steps that firstly, a quaternion matrix with the dimension being 8*8 is used for describing characteristics, based on the time domain and the space domain, of 8*8 image blocks in a reference image and characteristics, based on the time domain and the space domain, of 8*8 image blocks in a distortion image; then the cosine of an included angle between singular value vectors of the characteristics, based on the time domain and the space domain, of two image blocks, which correspond to each other in position, in the reference image and the distortion image is obtained, and the cosine serves as the difference degree between the two image blocks, which correspond to each other in position, in the reference image and the distortion image; objective assessment values of the image blocks in the distortion image are obtained through the difference degree and weighted values of chromaticity co-occurrence matrixes of the image blocks in the distortion image, and therefore the objective assessment value of the distortion image and the objective assessment value of distortion video are obtained. According to the method, computation complexity in the video assessment process is low, and the relevance between an objective assessment result and subjective perception can be effectively improved.