45 results about "Video assessment" patented technology

A frame rate is determined in accordance with the smoothness in movement of a video. An amount of change detection section extracts an amount of change based on a plurality of frame pictures included in an input video signal input as a moving picture signal from the outside and outputs an amount of change to an evaluation value calculation section. The evaluation value calculation section computes an amount of change in time between each of the frame pictures based on the amount of change and the time interval between frame pictures based on frame rate information and evaluates an evaluation value for evaluating the smoothness in movement of an input video based on the amount of change in time. The evaluation value is output to the outside as a factor for determining a frame rate.

The invention discloses a direct broadcast video assessment method and device. The method comprises the steps: obtaining the scoring information of each viewer terminal, which watches a direct broadcast video, for a target direct broadcast video; and carrying out the assessment of the rating degree of the target direct broadcast video according to the scoring information. According to the technical scheme of the invention, when the scoring information of each viewer terminal, which watches the direct broadcast video, for the target direct broadcast video is obtained, the method can carry out the assessment of the rating degree of the target direct broadcast video according to the scoring information, thereby quantifying the rating degree of the target direct broadcast video, and enabling the rating degree of the target direct broadcast video to be more accurate so as to carry out more targeted related operation based on the rating degree of the target direct broadcast video.

The invention provides a hot video evaluation method and system. The hot video evaluation method comprises the steps of recording effective watching number of times of a preheating video in a set period, wherein the preheating video is a video, the video on demand number of times of which is greater than a first set threshold in the set period, and effective watching refers to a watching behaviorcharacterized in that a duration of continuously watching the preheating video is greater than a second preset threshold; calculating a watching heat value of the preheating video according to the effective watching number of times of the preheating video; and evaluating whether the preheating video is a hot video according to the effective watching number of times and the watching heat value of the preheating video. The hot video evaluation method considers the video on demand number of times, effective watching number of times and a watching heat value of a video, so that the hot video evaluation method can reflect the actual heat level of the video more objectively, and the evaluation result of the hot video is more objective and accurate. The hot video is allocated to an edge node, notwasting storage resource of the edge node but relieving pressure of a center node of a content delivery network.

The embodiment of the invention provides a determination method and device of a video assessment set, and electronic equipment. The method comprises the following steps: acquiring a video clip interception record for a to-be-assessed video by a video platform user, wherein the video clip interception record comprises starting time and ending time of each intercepted video clip; computing the interception frequency that each unit clip at different time quantum in the to-be-assessed video is intercepted according to the starting time and the ending time of each intercepted video clip of the video clip interception record; selecting the unit clip with the interception frequency not less than a preset threshold to obtain each to-be-aggregated unit clip; aggregating various to-be-aggregated unit clips in time order according to a preset clustering algorithm, thereby obtaining various target video sequences; and determining a set formed by various target video sequences as an assessment setof the to-be-assessed video. Through the determination method provided by the embodiment of the invention, the assessment set of the video is efficiently obtained.

The invention provides a video evaluation and recommendation system, which comprises a mode selection module, a video evaluation module, a video recommendation module, a self-made content evaluation and recommendation database and a self-made content history database. Wherein, a mode selection module is used for acquiring an evaluation mode instruction or a recommendation mode instruction issued by a user terminal; the video evaluation module is used for calling the data of the self-made content evaluation recommendation database and the standard data of the self-made content history databaseaccording to the evaluation mode instruction to evaluate the evaluation object and sending the evaluation result to the user terminal; the video recommendation module is used for calling the data of the self-made content evaluation recommendation database and the standard data of the self-made content history database according to the recommendation mode instruction, calculating and obtaining theself-made content which meets the filtering condition, and sending the filtering recommendation result to the user terminal.

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 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.

A system and method for virtual camera configuration and selection. For example, one embodiment of a system comprises: a decode subsystem comprising circuitry to concurrently decode a plurality of video streams captured by cameras at an event to generate decoded video streams from a perspective of corresponding virtual cameras (VCAMs); video evaluation logic to apply at least one video quality metric to determine a quality value for the decoded video streams or a subset thereof, and to rank the decoded video streams based, at least in part, on the quality values associated with the decoded video streams; preview logic to provide the decoded video streams or modified versions thereof to one or more computing devices accessible to one or more video production team members and to further provide the quality values and/or the rank generated by the video quality evaluation logic; stream selection hardware logic to select a subset of the plurality of decoded video streams based on input from the one or more video production team members; and transcoder hardware logic to transcode the subset of the plurality of decoded video streams for live transmission over a public or private network.

The invention discloses a VR video quality evaluation method, which comprises the steps of obtaining a code rate, a frame rate, a resolution and a TI of a VR video, and determining an average subjective opinion score MOS of the VR video according to the code rate, the frame rate, the resolution and the TI of the VR video, the MOS of the VR video being used for representing the quality of the VR video. The invention further discloses an evaluation device. By adopting the embodiment of the invention, the accuracy of the VR video evaluation result can be improved.

The invention discloses a mobile video QoE (Quality of Experience) evaluation method based on a self-adaption degree, which comprises the following specific steps: user priority: in order to construct the self-adaption-based QoE evaluation method, a base station can carry out resource allocation adjustment according to the QoE; the adaptation degree of wireless resource allocation and code rate selection: calculating the adaptation degree Matchn (t) of wireless resource allocation and code rate selection by using Bn, j (t) and time, j (t); in the prior art, the QoE is estimated by depending on traditional network QoS parameters, and the method combines a quantitative index of a user side with wireless resource allocation of a base station side, and carries out QoE evaluation from a self-adaptive perspective. According to the method, the priority of the radio resource demand urgency degree of the user is adopted to indicate a direction for radio resource allocation, and then the radio resource share of the user is determined through the user code rate selection and the radio resource allocation suitability degree. Through real-time measurement, positive feedback is given in time when the downloading rate of the user is matched with code rate selection, negative feedback is given in time when the downloading rate is not matched with the code rate selection, and the obtained QoE score is more accurate in video service evaluation.

A method for video evaluation of the heart rate and/or respiratory rate of a baby, in particular under dim or nocturnal conditions, in a device comprising a video camera and a source of infrared light, the method comprising the steps of:

A1—illuminating the baby with the infrared source,

A2—capturing video images of the baby,

B1—determining the position of the baby's head by finding an ellipse forming an outline of the head,

B2—identifying an area of interest centered on a selected ellipse,

C—evaluating, by plethysmographic analysis of the area of interest, the heart rate and/or respiratory rate of the baby,

and associated system.

The invention discloses a microscopic video image monitoring and assessing method of the agglomeration and discretion degree of soil particles. The method comprises the following steps: establishing a microscopic video grey scale image database, establishing a corresponding relation between every substance and the grey level interval in the database, carrying out statistics on the relation between the quantity of pixels in the grey level interval, representing all substances and the content or form of the substances in the microscopic video grey scale image, and determining the practical characteristic parameters of soil to be detected according to the relation in order to determine the agglomeration and discretion degree of soil particles. The method allows onsite microscopic video assessment of a soil sample to be directly carried out without a process from onsite soil disturbance sampling to laboratory test; the agglomeration and discretion process details of the soil particles can be tracked in real time by adopting the microscopic video image; and soil in a region can be continuously monitored in real time for a long term through the microscopic video image monitoring and assessing method of soil evolution in order to obtain the evolution rule of the soil in the region.