154 results about "Video Library" patented technology

The embodiment of the invention discloses a video clip detecting method and device, and belongs to the field of image processing. The video clip detecting method comprises the steps that a currently-input video file or real-time streaming video is used as an object to be detected, whether video in a video library appears in the current video stream or not is detected and recognized through the video analysis and retrieval method, the accurate position, in the stream to be detected, of a video clip is located and a detection result is output. Image features extracted through the video clip detecting method and device integrate image global information and image local information, the matching error rate is reduced while the high recall rate is guaranteed, robustness is kept for image content changes, therefore, accurate locating is conducted on video clips in real-time or off-line television programs or video programs and accurate detection and recognition of the video clips are kept on the conditions that frames of video streams are lost, mosaic blocks appear in the video streams, video resolution ratios and video frame rates are different and video contents change.

The present disclosure relates to a video processing method and apparatus, an electronic device and a storage medium. The method includes: determining a preselected video associated with a query textparagraph among a plurality of videos according to paragraph information of a query text paragraph and video information of a plurality of videos in a video library; the target video in the preselected video is determined according to the video frame information of the preselected video and the sentence information of the query text paragraph. According to the video processing method of the embodiment of the present disclosure, the video can be retrieved through the correlation between the video and the query text paragraph, the target video can be accurately searched, the redundancy of the query result can be avoided, and the query text paragraph in the natural language form can be processed without being limited by the inherent content of the content label.

The embodiment of the invention discloses a video duplicate checking method and device, and the method comprises the steps: constructing a multi-modal feature vector of a to-be-processed video; carrying out neighbor retrieval in a video library based on the multi-modal feature vector, screening out candidate videos similar to the to-be-processed video, and obtianing a candidate video set; calculating the similarity between each candidate video and the to-be-processed video to obtain a similarity result; and determining whether the to-be-processed video passes duplicate checking detection or not according to the similarity result. According to the scheme, the video duplicate checking efficiency can be improved while the video duplicate checking accuracy is ensured.

The invention discloses a video label generation method and device and electronic equipment, and relates to the technical field of image processing and the technical field of natural language processing. The specific implementation scheme comprises the steps of obtaining a to-be-processed target video; extracting a key video frame from the target video; obtaining candidate reference videos from areference video library, wherein the reference video library comprises a plurality of reference videos and text information corresponding to each reference video, and the similarity between at least one video frame in the candidate reference videos and the key video frame is larger than a first threshold value; and determining a label of the target video according to the text information corresponding to the candidate reference video. Therefore, through the artificial intelligence, especially the video label generation method based on deep learning, fine-grained identification of the target video does not need to be carried out by using an image classification model, so that the accuracy and recall rate of video fine-grained identification are improved, the reference video in the referencevideo library can be expanded at any time, and the expandability is good.

The invention provides a system and method for prevention and control learning of hospital infection by medical staff, and belongs to the technical field of medical treatment. The system comprises a full-time personnel function and post module. The system comprises a learning curriculum module, a practice and evaluation module and a score and skill post authentication module, and a hospital infection prevention and control knowledge base in the learning curriculum module comprises a hospital infection professional curriculum library, a hospital infection standard operation video library, a hospital infection capability assessment question library and a hospital infection related laws and regulations knowledge question library; Configuring corresponding ability assessment question banks according to different professional medical staff, randomly generating examination questions and pushing the examination questions, and assessing the hospital infection ability of the medical staff; Self-learning and self-evaluation are carried out by medical staff at any time and any place in a specified task period; And an electronic certificate is issued to the medical staff who completes the score learning and examination. An online learning platform is constructed, learning courses are pushed out for individuals, and medical staff can learn the learning courses anytime and anywhere.

The invention relates to a video matching method and device, computer equipment and a storage medium. The method comprises the following steps: inputting an acquired video source into a feature extraction network for feature extraction to obtain a feature map and a feature vector corresponding to each video frame in the video source, wherein the video source comprises at least one video frame, andeach video frame comprises a to-be-detected object; inputting the feature map corresponding to each video frame into a similarity extraction network for similarity calculation to obtain the similarity between every two adjacent video frames in the video source; performing fusion processing on the feature vectors corresponding to the video frames based on the similarity between every two adjacentvideo frames to obtain fusion features corresponding to the video source; determining a target video sequence matched with the video source in a video library according to the fusion feature corresponding to the video source and the preset video library, wherein the target video sequence comprises at least two target video sources. By adopting the method, the accuracy of a video matching result can be improved.

The invention belongs to the 3D video processing field of the new generation information technology based on the augmented reality, to be specific, relates to a 360-degree multi-viewpoint 3D holographic video acquisition method, and a realization method. A plurality of video cameras are used for the full-color, high resolution, and all-dimensional image acquisition, pixel operation and pixel aggregation, and therefore the 3D holographic video acquisition way and the processing procedure can be simplified, the consumption of a lot of time and dedicated devices can be saved, the all-dimensional and full-color 3D holographic videos can be acquired, and the spatial 3D visual sense of the user can be greatly enhanced. The video cameras adopt the MAC architectures, and can share the channel in a way of combining the statistical multiplexing and the assembly line transmission, and therefore the rapidness and the effectiveness of the data transmission can be improved, and the resource waste condition and the channel conflict condition can be prevented. The video database and the user terminal adopt the single-instruction multi-channel transmission way, and then the wireless resource transmission unified allocation can be realized, and therefore the data transmission speed can be accelerated, and the 3D holographic video processing and display speed of the user terminal can be accelerated.

The embodiment of the invention discloses a video clip retrieval method and device, and relates to the field of video data search. The method comprises the steps of performing video frame sampling ona target video and a to-be-retrieved video in a video library, and performing feature extraction on sampled sampling frames; matching the target video with the to-be-retrieved video according to the characteristics of the sampling frame, and determining candidate to-be-retrieved videos matched with the target video; determining at least one candidate video clip from the candidate videos to be retrieved, and calculating the matching degree of the target video and each candidate video clip based on the characteristics of each sampling frame; and determining a video clip matched with the target video in the to-be-retrieved video according to the matching degree of the target video and each candidate video clip. The method improves the accuracy of video retrieval.

The invention discloses a multi-person behavior detection method and system based on deep learning fusion of various interaction information. The method comprises the following steps: building a videolibrary with a label as a sample set to train a behavior detection network, processing a to-be-detected video through the trained network, and realizing the detection of an object behavior in a region according to a final output vector. According to the method, the complexity of human behaviors is fully considered, the interaction relationship between the human behaviors and other people, objectsand long-term memory information is integrated while the motion of the human is considered, and the video behavior detection precision is effectively improved.

The invention discloses a video processing method and device, a storage medium and an electronic device. The method comprises steps of acquiring a to-be-processed first video wherein the first video comprises a first video frame with a first definition; based on a first video relation chain matching a first video frame, searching a second video frame matching the first video frame from a video library, wherein the similarity between the content of the second video frame and the content of the first video frame is greater than a first threshold, the definition of the second video frame is a second definition, the second definition is greater than the first definition, and at least one video frame of which the similarity with the first video frame is greater than a second threshold exists ineach video in the first video relation chain; and replacing the first video frame in the first video with the second video frame. According to the invention, the technical problem of low efficiency of improving the definition of the video in related technologies is solved.

The embodiment of the invention provides a video recommendation method and device and electronic equipment, and the method comprises the steps: determining at least one target publisher according to the feature information of a plurality of video publishers, the video features of a plurality of videos and a user watching behavior log, and generating a target publisher set; and combining the videosin the video library according to the video pushing relationship, obtaining the click rate of the second video in each video combination according to the user watching behavior log and the video pushing relationship to generate a click rate list, and for each target publisher in the target publisher set, when the first target video is played, obtaining a video recommendation list corresponding tothe first target video, sorting the to-be-recommended videos in the video recommendation list according to the click rate list, and screening out a first preset number of second target videos for recommendation. According to the invention, the experience effect of the user in the publisher recommendation scene can be improved, recommendation can be performed according to the video playing condition, and the watching experience of the user is ensured.

The invention provides a video recommendation method and system based on a deep neural network, and a storage medium. According to the method and system, the watching video data of a user are obtained; a positive sample data set and a negative sample data set are generated according to the watching video data of the user and the video data of a video library; autoencoder model training based on adeep neural network is performed with the positive sample data set and the negative sample data set, so that a training network model can be obtained; the video watching data of each user and the video data of the video library are inputted into the training network model, so that a predicted video recommendation list can be obtained; and video recommendation is performed on each user according tothe predicted recommended video list. According to the method provided by the invention, personalized recommendation under a network television condition is realized, recommendation accuracy is ensured based on the deep network, and convenience is provided for the user to watch videos.

The invention discloses a video similarity detection method, and the method comprises the following steps: determining a to-be-detected video frame in a to-be-detected video when the to-be-detected video is obtained; screening out a to-be-detected video segment from the to-be-detected video by using the to-be-detected video frame; matching a selected preset video segment meeting a preset condition with the to-be-detected video segment in a preset video library with the to-be-detected video segment to obtain a video pair; and performing similarity detection on the video pair to obtain a similarity detection result of the to-be-detected video. The invention further discloses a video similarity detection device, terminal equipment and a computer readable storage medium. By using the video similarity detection method provided by the invention, the video similarity detection efficiency is improved.

The invention discloses a method for supplementing a public security investigation data set based on a selfie buffeting view. The method includes: utilizing a customized interface to dock a short video content service platform to obtain network short video; receiving, storing and establishing a network short video library according to view library criteria,; extracting target information by utilizing an AI analysis system according to a view library standard; forming a short video view database; and restoring beautified target images such as faces and human bodies by using an adversarial beautification technology, supplementing the images to a short video view database, extracting target information from the beautified and restored target images such as faces and human bodies by using secondary AI analysis, supplementing the target information to the short video view database, and performing fusion multi-dimensional analysis by using public security big data. According to the method, data mining of the short video view data is realized.

The embodiment of the invention discloses a similar video screening method and device, equipment and a storage medium. The method comprises the following steps: constructing a similar video library ofeach to-be-selected video under a specified similar scale according to video-level characteristics of each to-be-selected video in a to-be-selected video library; searching similar videos of which the similarity with the to-be-selected video exceeds a preset similarity threshold from the similar video library of each to-be-selected video to obtain a corresponding video pair candidate library; andscreening out corresponding similar video pairs from the video pair candidate library based on the frame-level features of the two video parties of each candidate video pair in the video pair candidate library under the corresponding similarity weights. According to the technical scheme provided by the embodiment of the invention, the comprehensiveness and accuracy of similar video screening areimproved by adopting a double-screening mode, and meanwhile, the extraction operand of the frame-level features of the two video parties is controlled, so that the extraction operand of the frame-level features is reduced, and the screening efficiency of similar videos is improved.

The invention provides a video association method and device, a server and a readable storage medium, and belongs to the technical field of computers. The method comprises the steps of obtaining firstdescription text information corresponding to a target short video; acquiring a plurality of long videos matched with the target short video in a preset long video library, wherein the long video inthe preset long video library has corresponding second description text information; obtaining a plurality of long videos matched with the target short video based on the first description text information and the second description text information; and obtaining a target long video associated with the target short video from the plurality of long videos based on the video similarity between thetarget short video and the plurality of long videos. Through the scheme, the plurality of long videos associated with the target short video can be matched by describing the text information, and thenthe target long video with high association degree with the target short video is matched in the long videos through the AI association analysis algorithm, so that the AI processing amount can be effectively reduced, and the AI resources are saved.

The invention discloses a video comment generation method and device based on artificial intelligence, an electronic device and a computer readable storage medium. The method comprises the steps of determining a similar video set similar to a to-be-commented video in a video library; obtaining a historical comment set of the similar video set; and generating video comments of the to-be-commented video based on the historical comment set of the similar video set. According to the method, a video publisher can be stimulated to continue to create and publish videos, so that the creation atmosphere of a platform is more benign, and the community operation atmosphere of the video platform is activated.

The invention belongs to the technical field of video online generation, and particularly relates to a system for automatically generating a complete video platform based on fragmented videos. The system comprises user selection of library materials, wherein the user selection library materials comprise an open clip video library, a clip switching effect library, a background music library, a foreground special effect library, a content clip and character dubbing library and an end clip library. The user selects a corresponding material from the user selection library materials according to own requirements. The system further comprises a user data interaction module, the user data interaction module is used for integrating fragment videos autonomously shot by a user into the whole video,and the system further comprises a video editing module which is used for selecting the video in a certain time period in the video fragments.

The embodiment of the invention provides a sign language video synthesis method, a sign language translation system, a medium and electronic equipment. The method comprises the following steps: acquiring a video index corresponding to each word in a to-be-processed text; obtaining real person sign language video clips corresponding to the words from a video library according to the video index toserve as to-be-spliced clips, wherein the head and the tail of each real person sign language video clip comprise a plurality of redundant gesture frames; splicing the obtained to-be-spliced clips into a sign language video used for representing the to-be-processed text in sequence, and at least deleting part of redundant gesture frames in every two adjacent to-be-spliced clips before splicing soas to enable sign language actions to be coherent. Theto-be-spliced clips can be selected from the real person sign language video clips in a video library, at least part of redundant gesture frames of the adjacent to-be-spliced clips are deleted and then automatically spliced to form coherent sign language actions, and the method has the advantages of being real and natural in semantic expression, high in fluency and high in practicability.

The invention discloses a method and a system for quickly searching people through a human face in a media asset video library. The method comprises the following steps: establishing a character information base and a video character structured result information base; and after the character information base creates a character head portrait and submits the character head portrait, triggering a process of quickly searching characters in the media asset video base, or triggering the process of quickly searching the characters in the media asset video base by a video when a new video is received, and registering return contents of the search process to the video character structured result information base. According to the invention, the specific position of a known person in a specific video in a media asset library is recorded; according to the face feature retrieval method supporting one-time aggregation and recycling, the video frequent decoding expenditure, the feature comparisonexpenditure of non-face pictures and the expenditure of secondary face feature comparison of known people can be effectively reduced, and the face feature comparison accuracy due to pixels, side orientations and the like is greatly improved.

The embodiment of the invention provides a recommended video acquisition method and device for teaching, and relates to the technical field of data processing, and the recommended video acquisition method for teaching comprises the following steps: firstly obtaining learned knowledge points of students; matching knowledge points to be learned corresponding to the learned knowledge points in a preset knowledge graph; further, matching a plurality of to-be-learned videos corresponding to the to-be-learned knowledge points in a preset video library; obtaining a plurality of high-quality videos with the optimal teaching effect from the plurality of videos to be learned; and finally, matching a plurality of recommended videos in the plurality of high-quality videos according to preset student preference information, and recommending teaching videos suitable for students, thereby improving the teaching quality of online education.

The invention discloses a psychological assessment system based on video fixation differences, and the system comprises a video stimulation module which is used for providing a plurality of groups of video free watching tasks for a subject based on a preset video library, wherein each group of videos comprises at least one section of positive emotion video and at least one section of negative emotion video, and when the subject performs a video free watching task, the positive emotion video and the negative emotion video belonging to the same group are played in different areas of the same picture at the same time; a data acquisition module which is used for acquiring eye movement track data when a subject performs a video free watching task; and a data analysis processing module which is used for identifying the psychological state of the subject based on the eye movement trajectory data and generating a psychological assessment report of the subject. According to the invention, whether the subject is in abnormal psychological states such as depression/anxiety and the severity can be efficiently, objectively and quantitatively evaluated.