19 results about "Video assessment" patented technology

This invention proposes a method, system, and computer device for generating text-based videos, relating to the technical field of video processing. The method includes: acquiring user input parameters; generating anchor point prompts and anchor point character diagrams based on the user input parameters; evaluating the anchor point character diagrams until they pass evaluation; extracting information from the anchor point prompts to obtain a storyboard; evaluating the storyboards until they pass evaluation; generating audio and storyboard video based on the storyboards; evaluating the storyboard video until it passes evaluation; post-processing the storyboard video to obtain a post-processed video; and combining the post-processed video with the audio to generate a target video. This invention effectively provides a closed-loop evaluation node for text-based video generation, improving the quality of generated text-based videos.

The invention discloses a video-based omni-directional remote rehabilitation training system, a video-based omni-directional remote rehabilitation training method and a medium, which are characterized in that a digital standardized training video library classified according to four stages of PT physical therapy is established, and more than 700 digital standardized training videos such as joint activity, balance training, gait correction and the like are covered; it is ensured that the training content is scientific and covers the whole period and all directions of rehabilitation training; rehabilitators generate personalized training schemes in combination with rehabilitation scene types (hospitalization / home / community / old-age care institutions) and clinical data and in combination with remote video evaluation of the rehabilitators, and training requirements in different environments are met. By capturing actions of limb joint angles, joint point motion trails and muscle force changes, a training action deviation rate is calculated and is fed back and output to a rehabilitation teacher in a grading manner, so that the training standardability is remarkably improved; rehabilitators can manage multiple patients online at the same time, remotely check training percentage data, adjust schemes and generate rehabilitation notes, and efficient, accurate and personalized rehabilitation guidance services are provided for the patients.

The application discloses a kind of based on deep learning network's ultra-high-definition video compression damage grade evaluation method, comprising the following steps;Step 1, establish multi-resolution compression damage training set, verification set, test set: step 2, construct the compression damage grade evaluation network of time-frequency domain combination: step 3, train the compression damage grade evaluation network of time-frequency domain combination: step 4, test the accuracy of multi-resolution compression damage test set;Step 5, evaluate the compression damage grade evaluation network of time-frequency domain combination.The application is evaluated to ultra-high-definition video compression damage, solves the problem that compression damage data set production cost is high, not easy to expand, video compression damage evaluation network does not adopt end-to-end design, and generalization ability is insufficient and the problem that ultra-high-definition video evaluation is time-consuming.

Systems and methods in accordance with many embodiments of the invention include a motion evaluation system that trains a model to evaluate motion (such as, but not limited to, gait) through images (or video) captured by a single image capture device. In certain embodiments, motion evaluation includes predicting clinically relevant variables from videos of patients walking from keypoint trajectories extracted from the captured images.

The application discloses a configuration method of a formation performance scheme, and the method is applied to a user terminal device, and the method comprises the following steps: obtaining a take-off scheme determined by a user; obtaining a performance scheme determined by the user; generating a formation flight scheme based on the take-off scheme and the performance scheme; performing flight simulation on an aircraft fleet according to the formation flight scheme, obtaining simulation data, and generating a performance video corresponding to the formation flight scheme according to the simulation data, so that the user can evaluate the formation flight scheme based on the performance video. The application can save communication cost and generate the formation flight scheme based on the user demand.

The system according to the embodiment aims to allow participants to create and evaluate music and video in real time. [Solution] A system according to an embodiment includes a reception unit, a generation unit, a video generation unit, a performance unit, and an evaluation unit. The reception unit receives input of music genre and tempo from participants. The generation unit generates music based on the information received by the reception unit. The video generation unit generates video based on the music generated by the generation unit. The performance unit plays the music and video generated by the generation unit and the video generation unit in real time. The evaluation unit evaluates the music played by the performance unit.

The invention provides an audio-visual quality evaluation method and system for audios and videos, electronic equipment and a storage medium, and relates to the technical field of audio-video evaluation, and the method comprises the steps: collecting the biometric data of a user in real time in the playing process of a target audio and video, and the environment data of a playing environment; performing feature extraction according to the biometric data to obtain biometric features, and converting the environmental data into environmental features; performing feature extraction on the target audio and video to obtain audio-visual signal features; performing multi-modal feature fusion on the biometric features, the environment features and the audio-visual signal features to obtain a fusion feature vector; and inputting the fusion feature vector into a pre-trained audio-visual quality evaluation model to obtain an audio-visual quality evaluation result of the target audio and video. According to the method, subjective perception and accurate prediction of the audio-visual quality are realized, the limitation that only signal indexes are relied on traditionally is broken through, and the accuracy and individuation level of audio-visual quality evaluation are remarkably improved.

To provide a nursing care state determination device contributing to reduction of a falling risk of a care-receiver.SOLUTION: A nursing care state determination device 1 for determining a nursing care state of a person to be cared for includes a moving image acquisition unit 10 that acquires a moving image obtained by photographing a determination target person, a moving image analysis unit 20 that determines whether or not the acquired moving image is a target moving image obtained by photographing a standing-up motion of the determination target person from a side direction, a determination unit 30 that determines a falling risk of the determination target person based on the target moving image, and a determination result output unit 40 that outputs a determination result of the falling risk. The video analysis unit 20 includes the coordinate providing unit 21 that provides the target video with the coordinate information regarding the earlobe, the acromion, the greater trochanter, the posterior surface of the knee joint, and the lateral malleolus of the determination target person, and the determination unit 30 includes the movement amount measurement unit 31 that measures the movement amount of the body part from the coordinate information and the angle measurement unit 33 that measures the head inclination angle and the knee joint angle and determines the risk of falling on the basis of the measured movement amount and angle.SELECTED DRAWING: Figure 1

Systems and methods for improving video generation models are provided. In some implementations, a video evaluation input prompt is assembled, including data indicative of a synthetic digital video and a request to evaluate the video based on one or more criteria. The synthetic digital video comprises a temporal sequence of frames generated by a video generation model and portrays simulated events. The video evaluation input prompt is processed using a generative model, such as a vision-language model, to generate evaluation output indicative of an outcome of the evaluation. Based on the evaluation output, the video generation model is adapted. The adaptation can be performed using reinforcement learning with the evaluation output as reward data or using direct preference optimization with the evaluation output as preference data. This process can improve the physical plausibility and logical consistency of videos subsequently generated by the adapted model.

A video assessment method includes: obtaining a first video group, where the first video group includes a plurality of first videos; processing watch times of the plurality of first videos to obtain parameters of the first video group, where the parameters of the first video group indicate biases of the watch times of the plurality of first videos and noise of the watch times of the plurality of first videos; and obtaining assessment values of the plurality of first videos based on the parameters of the first video group and the watch times of the plurality of first videos, where the assessment values of the plurality of first videos indicate degrees of interest to a user for the plurality of first videos.

The invention relates to a video playing method and device, electronic equipment and a computer program product, and relates to the technical field of streaming media. The method comprises the following steps: acquiring a video watching data set; according to data features corresponding to the video watching data, determining video playing quality and watching exit probabilities under different video playing parameter values; constructing a video evaluation model based on mapping relations between the data features and the video playing quality and between the data features and the watching exit probability; determining the estimated playing quality and the predicted exit probability of the target video through the video evaluation model, and predicting according to the estimated playing quality and the predicted exit probability to obtain a user experience score; and performing a playing decision operation according to the user experience score, and determining a target playing parameter value of the target video. According to the invention, by analyzing the mapping relation between the data features of the video watching data and the video playing quality and the watching exit probability, differential algorithm strategy dynamic adjustment is realized for different users, so that the subjective experience of the users is optimized.

The application discloses a short video evaluation and creation assistance method and system based on visual understanding, the method comprising: acquiring short video data, extracting key frames from the video; detecting the key frames to obtain the proportion information of the face region position in the picture; identifying the expression category of the detected face region, and counting the number of expression category changes in adjacent time windows; estimating the global motion amount of the picture based on the optical flow information between adjacent frames, calculating the lens shake degree and forming the picture stability index; obtaining the video frame change rate by calculating the pixel difference and color histogram difference between adjacent frames; and fusing the above indexes to output a comprehensive score of the video hit potential. The application analyzes visual features such as the state of the character in the video picture, the expression change, the picture stability and the rhythm change, constructs an interpretable hit potential evaluation model, and provides objective, real-time and executable intelligent assistance decision for short video and live content creation.

A device for ensuring correct results in joint self-tests, characterized in that this invention, available to each participant and consisting of various system parts – as well as its logical, physical, and data-related interconnection – autonomously regulates and controls the procedure of a participating group of people both temporarily and logically, such that the control unit (SE) of the device informs the group of people around the time of the desired reporting level (M) with infection status (INFQ) (VI), at which time (S) an optionally video-documented self-test (T1, VS) – alternatively (self-)tests with other personal identification – is to be carried out immediately, wherein an included random function (RAN) ensures that this time is not predictable, and in the case of the video-documented self-test, the test stick of the device is marked (K) for identification in the video evaluation.which can also be AI-based, and the swab (TU) has an additive / impregnation with an acid indicator (INDI) so that deliberate wetting by acidic substances by the test subject – and the associated discoloration – leads to an invalid test result – and the non-distribution of a reward; and the device determines the sum of all positive test results (INFM) from the tests (T1), whereby the device then calculates the time interval (INT) after which, in the case of a positive initial test (T1), a second test (T2) must be carried out in order to obtain the reward for the test subject and their housemates if the test result is again positive and quarantine (Q1) has been observed, wherein the calculation is reciprocal – for example, with the calculation approach Q1*(1-INFQ / INFM) – and the resulting adaptive shortening of the test interval (INT) is intended to achieve as many justified reward distributions as possible.

A method of video evaluation for a video comprising successive video frames comprises the steps of generating optical flow vectors for at least a subset of corresponding pixels between frame pairs, s6

The invention discloses a human motion assessment method based on a multi-modal large language model, and belongs to the field of computer vision and artificial intelligence. Aiming at the problems of lack of professional training data and low video evaluation calculation efficiency in the prior art, the method comprises the following steps: firstly, generating diversified moving images in batches by using an image generation model taking a human body skeleton diagram as a control condition, and performing automatic professional labeling by means of a commercial large language model to construct a training data set; performing multi-task fine tuning on the open source visual language model by using the data set to obtain a professional exercise evaluation model; in the application stage, key frames are extracted by detecting periodic extreme points of human body joint angles in a user motion video, and only the key frames are input into the evaluation model to generate final scores and text feedback. According to the invention, automatic construction of low-cost and high-quality training data is realized, and efficient and real-time professional exercise evaluation can be carried out.

A care condition determination device that contributes to reducing the risk of a care recipient falling is provided. [Solution] A care status assessment device 1 for assessing the care status of a care recipient, comprising a video acquisition unit 10 that acquires video of the person being assessed, a video analysis unit 20 that determines whether the acquired video is a target video taken from the side of the person being assessed standing up, a assessment unit 30 that assesses the risk of the person being assessed based on the target video, and a assessment result output unit 40 that outputs the assessment result of the risk of falling, the video analysis unit 20 comprising a coordinate assignment unit 21 that assigns coordinate information regarding the earlobe, acromion, greater trochanter, posterior surface of the knee joint and lateral malleolus of the person being assessed to the target video, and the assessment unit 30 comprising a movement amount measurement unit 31 that measures the amount of movement of body parts from the coordinate information and an angle measurement unit 33 that measures the head tilt angle and knee joint angle, and assesses the risk of falling based on the measured movement amount and angle.

This application discloses a video assessment method and a related device thereof, to accurately assess a plurality of videos, thereby accurately obtaining degrees of interest to a user for the plurality of videos. The method in this application includes: obtaining a first video group, where the first video group includes a plurality of first videos (401); processing watch times of the plurality of first videos to obtain parameters of the first video group, where the parameters of the first video group indicate biases of the watch times of the plurality of first videos and noise of the watch times of the plurality of first videos (402); and obtaining assessment values of the plurality of first videos based on the parameters of the first video group and the watch times of the plurality of first videos, where the assessment values of the plurality of first videos indicate degrees of interest to a user for the plurality of first videos (403).