139 results about "Video storage" patented technology

A video gateway system at a worksite is coupled to multiple cameras on a network, and backs-up video streams generated by the cameras to a backend cloud backup video storage system and a frontend (cache) video storage system. The video gateway system generates an aggregated video asset from a plurality of streams of video from the multiple cameras, and generates metadata and a backup report associated with the video asset. The video asset, metadata, and backup report are stored on the backend cloud backup video storage system in an file system, and are also stored on the frontend (cache) video storage system such that for at least a period of time, the video asset and the associated the metadata and backup report are stored on both the cloud backup video storage system, facilitating quick access and retrieval to the stored video for retrieval for streaming, activity detection, and other uses.

The system obtains, from a database storing multiple videos, a video including associated metadata. The database storing multiple videos is configured to support a first search using the metadata. The system obtains, from the video, an audio and a closed caption data, and provides the audio, the closed caption data, the metadata, and a prompt to an artificial intelligence. The prompt requests multiple tags based on the audio, the closed caption data, and the metadata. A tag among the multiple tags indicates a property associated with the video. The system stores the multiple tags in the database by adding the multiple tags to the metadata to obtain new metadata. The system enables a second search of the multiple videos stored in the database by searching the new metadata, where the second search provides more accurate results than the first search.

The invention relates to the technical field of security engineering, and discloses a panoramic monitoring video cloud storage processing method and system, and the method comprises the steps: constructing a grading processing strategy set corresponding to multi-source panoramic video data, and a streaming processing rule engine and a value density scoring matrix of the grading processing strategy set; carrying out pre-transmission information reinforcement processing on a high-value event in the multi-source panoramic video data to generate an encrypted data stream of the multi-source panoramic video data; combining the space-time-behavior feature vector of the encrypted data stream with the global information atlas of the global monitoring front-end equipment, and setting a differential storage mode of the encrypted data stream; and finally, according to the hierarchical processing strategy set, the encrypted data stream and the differentiated storage mode, generating a cloud storage optimization scheme of the multi-source panoramic video data. According to the invention, the resource utilization efficiency of the panoramic monitoring video storage system can be improved.

A building security system includes computer-readable storage media having instructions stored thereon that, when executed by processors, cause the processors to: receive, from cameras communicably coupled to the building security system, video data, wherein the video data includes one or more video recordings, retrieve contextual information associated with the video data, analyze, using one or more artificial intelligence models, the video data, wherein the analysis of the video data includes detecting one or more details, determine, using the one or more AI models, based on the contextual information and the one or more details detected within the video data, a relevance of the one or more video recordings, and, based on the relevance of the one or more video recordings, automatically implement, using the one or more AI models, an action to delete or reduce a storage size of at least one of the one or more video recordings.

System and method for securely managing video captured by the IoT cameras. For example, one embodiment of a method comprises: generating a key pair comprising a private key and a public key; storing at least the private key on a data processing device of a user and storing only the public key on an internet of things (IoT) camera associated with an account of the user; in response to an event, the IoT camera to perform the operations of: generating a temporary data encryption key (DEK); encrypting video captured by the camera using the DEK to generated encrypted video blocks; encrypting the DEK using the public key to generate an encrypted DEK; and transmitting the encrypted video blocks and the encrypted DEK to a video storage service.

The invention relates to the technical field of security and protection monitoring video storage, in particular to a high-definition monitoring video storage method and system based on RGB color pixel coding, and the method comprises the steps: building coordinates for an initial frame pixel by pixel, collecting original RGB data, and building an initial database; the dynamic degree of the picture is analyzed in real time, and the acquisition frame rate and the pixel change judgment threshold value are automatically matched. Then, collecting subsequent frames according to the matching frame rate, calculating the color change degree relative to the previous frame pixel by pixel, and judging whether the pixels need to be updated or not according to a threshold value; storing coordinates, new RGB codes and timestamps of the pixels needing to be updated; and for the non-updated pixels, not storing the RGB data of the non-updated pixels, and caching the complete RGB data of the non-updated pixels when the whole frame is judged to be a static frame. During playback, an initial database is taken as a basis, and the cached static data and the stored dynamic data are combined to directly render an RGB picture, so that lossless, efficient and low-delay playback is realized.

According to some embodiments a system is provided. The system comprises a remote monitoring computing system that is configured to receive an alarm signal from a premises monitoring system that is configured to monitor a premises where the alarm signal is associated with an alarm event at the premises, in response to the alarm signal, obtain, from a content storage computing system, metadata corresponding to video provided by a camera at the premises, in response to the metadata, store the video in a data store of the remote monitoring computing system, and enforce an access control policy on the video in the data store where the access control policy restricts access to the video in the data store based on time and a plurality of roles of a plurality of users of the remote monitoring computing system.

A method for controlling a video memory for model training, an electronic device and a storage medium are provided, relating to the field of artificial intelligence technology, and in particular to the fields of neural network, large model, training optimization and other technologies. The method includes: reconstructing a video memory space for one or more backward calculations during model training according to grouping information of parameter gradient information required for the one or more backward calculations; performing the one or more backward calculations to obtain one or more backward calculation results; storing the one or more backward calculation results into the video memory space reconstructed for the one or more backward calculations; and releasing the video memory space reconstructed for the one or more backward calculations.

Systems and methods are provided for selectively storing and retrieving video data by converting video segments into textual descriptions associated with key visual features and incrementally building a vector database of feature embeddings. The feature embeddings can be used in combination with text-to-video generation models to reconstruct video segments on demand. Selective storage of feature embeddings enables optimized, accurate, and contextually relevant text-to-text and text-to-video generation and video searching functionalities.

The invention discloses a video storage method and device and a storage medium, and the method comprises the steps: predicting the position of an initial key frame of a next picture group, and obtaining a predicted position; calculating to obtain a predicted cache space based on the cache space required by the image frame between the current image frame position and the predicted position; if the size relationship between the current residual space of the buffer and the predicted buffer space meets a preset condition, responding to the completion of encoding of an initial key frame of a next picture group, and starting to write data of a new video file into the buffer by taking the key frame as a starting point, and taking the cache data before the cache as the data of the old video file and transferring the data to the persistent memory. By predicting the position of the initial key frame of the next picture group and sensing the opportunity of video slicing in advance, video slicing is accurately carried out at the position of the key frame, each obtained video file can be played independently, redundant key frames do not exist, and the storage efficiency is improved.

The invention discloses a node time processing method and a video storage system. The processing method comprises the following steps: respectively detecting time differences corresponding to a plurality of nodes from at least two dimensions to obtain at least two time differences; wherein the at least two dimensions comprise at least two of a system layer dimension, a business layer dimension and a metadata dimension; performing node time anomaly detection based on the at least two time differences; and when the target node is detected to have the time abnormality, performing time restoration on the target node. By means of the mode, higher-precision time synchronization anomaly detection can be achieved.

A train interior monitoring system includes an on-board video storage unit that stores, as image information, video data of an interior of trains and parameter information; an on-board control unit that controls operations of devices installed on the trains; an on-board display unit that provides a display; an on-board communication unit that sends the image information stored in the on-board video storage unit when one of the trains is in a stoppage state; and a video analysis server that determines whether there is a left-behind article on each of the trains using the image information, and when the video analysis server detects presence of a left-behind article, generates a left-behind article notification indicating that there is a left-behind article. The on-board display unit displays contents of the left-behind article notification.

The utility model discloses a kind of photo albums with video function, including cover, top plate, magnetic attraction piece, T type support pole, T type support foot, cover side is connected with bottom cover by cover spine, top plate is connected by folding portion between bottom cover, top plate top is equipped with mounting groove and is equipped with display screen in mounting groove, lithium battery and video storage chip are equipped in top plate, magnetic attraction piece is located in cover and top plate, photo album is innovatively integrated with display screen, not only can play the photo in video storage chip, can also play video, when user peruses photo album, not only can see familiar paper photo on inner page, can also review dynamic image moment through display screen, and photo album still retains the cover, bottom cover and inner page structure of traditional photo album, user can continue to place paper photo therein, give consideration to the emotional dependence of people to traditional photo album;While incorporating modern electronic technology, the display of dynamic image is realized, greatly enrich the use experience of viewer.

The present invention relates to a system for recording a driving video and a method of operating the same. The system includes a non-transitory memory and a processor connected to the non-transitory memory, and the processor detects a position of a driver and a door state of a vehicle when an impact on the vehicle is sensed during parking, and performs at least one of an impact sensing video storage and an impact sensing notification service based on the position of the driver and the door state.

A video editing support device includes: a captured video acquirer that acquires a captured video capturing a state of a sport being played, in which the captured video includes an object as a subject; a stock video storage unit that stores a stock video based on the captured video; a condition storage unit that stores multiple attention mark assignment conditions for the object; an attention scene detector that detects an attention scene that satisfies an attention mark assignment condition in the stock video; an attention mark assignment unit that relates, to a detected attention scene, an attention mark corresponding to the type of an attention mark assignment condition associated with the detection; and a stock video display controller that displays the stock video on a certain display device and that displays, on the stock video, an attention mark related to an attention scene in the stock video, together with playback time information.

This application relates to a monitoring intelligent processing method, apparatus, device, and medium based on transfer learning. The method includes: acquiring monitoring data via IoT communication connected to monitoring devices; preprocessing the data to obtain initial monitoring data; performing data analysis on the initial monitoring data to obtain labeled business segments and non-business segments; generating a decision scheme and executing the decision scheme when triggered, while sending the business segments and non-business segments to an integrated intelligent monitoring processing center; training an integrated model based on the business segments and non-business segments to obtain a target integrated model and target monitoring feature data; performing transfer learning based on the target monitoring feature data to generate multiple target lightweight models, and deploying these multiple target lightweight models to the connected devices. This application improves the intelligence and efficiency of monitoring intelligent processing, meets the requirements of real-time monitoring, and reduces the cost of monitoring video storage.

A sickness assessment system includes a video storage unit configured to store video data that causes a visually induced self-motion sensation in a subject, a pattern storage unit configured to store an obstruction pattern that obstructs a partial area of a video based on the video data, a display control unit configured to display, on a display unit, an assessment video in which the obstruction pattern stored in the pattern storage unit is superimposed on the video based on the video data stored in the video storage unit, and an assessment processing unit configured to assess sickness of the subject on the basis of output information output from the subject who has viewed the displayed assessment video.

An electronic device according to an embodiment of the disclosure may include: a display; at least one processor; and at least one memory configured to store instructions, wherein the instructions, when executed individually or collectively by the at least one processor, cause the electronic device to: identify a specific object in an image; identify at least one movement point of a virtual camera, based on a position of the specific object; identify a movement trajectory, based on the at least one movement point; capture a video, based on the movement trajectory; and display the video on the display and / or store the video in the at least one memory.

The utility model discloses a display alarm device for station lingers monitoring and early warning, include: UI interface display equipment, and the UI interface display screen regional display station lingers alarm information and camera position information, and show station real -time video and station history video, camera monitoring equipment, and record station real -time video, and monitor station lingers, obtain monitoring signal, data information storage equipment, store station real -time video and station history video, store alarm picture data and alarm video data, touch sensing device, and the touch operation of UI interface display equipment is inducted, monitor data processing control equipment, handle camera monitoring equipment data, handle data information storage equipment data, control UI interface display equipment display data, and control camera monitoring equipment, control trigger early warning alarm signal, alarm early warning prompt equipment, according to early warning alarm signal, carry out station lingers alarm and lingers overtime early warning prompt.

The application discloses an audio and video online communication system and method based on combination of 5G message and WebRTC, and the audio and video online alarm system comprises a 5G user terminal, an interrogator server, a signaling server, a logic processing server, a media server, a call plan database and a video storage database; the 5G user terminal is connected with the signaling server, the media server and the logic processing server respectively; the interrogator server is connected with the signaling server, the media server and the logic processing server respectively; the signaling server is connected with the logic processing server and the media server respectively; the logic processing server is connected with the call plan database; and the media server is connected with the video database. The application does not need to download and install an application and can communicate through a video.

Disclosed is an image storage device which can be mounted on a vehicle and which captures and stores images around the vehicle. The image storage device according to the present disclosure comprises: a photographing unit that photographs and acquires a real-time driving image of a vehicle; an accident prediction unit that analyzes the real-time traveling image using a pre-learned accident detection artificial intelligence model and predicts the possibility of an accident occurring in the vehicle; a storage unit that, if it is determined that there is a possibility of occurrence of the accident, stores a traveling image including a predetermined period of time before and after an accident detection time based on the accident detection time; the communication part is used for sending the driving images in the preset time period to a loss ratio judgment server, and the accident detection artificial intelligence model is a model which is trained by utilizing training data marked with accident images and normal driving images and through a supervised learning mode.

The invention discloses a task scheduling method and system based on a heterogeneous video storage system. The task scheduling method comprises the following steps: acquiring data in the heterogeneous video storage system and calculating a system congestion degree baseline; generating a video task actual scheduling scheme and a virtual migration-free baseline scheduling scheme, and calculating completion time; calculating a normalized net income index and a migration oscillation index according to the completion time difference in combination with a preset task importance weight, a node congestion degree change and a round-trip migration frequency; generating node-level migration threshold configuration based on the self-adaptive migration threshold updating rule; calculating video task migration net earnings for the video tasks on the high-congestion nodes; and executing video task rescheduling and forming closed-loop control based on an execution result. According to the adaptive scheduling method based on congestion perception and income oscillation constraint, the dynamic migration decision of the cross-node video task is realized, and the adaptive scheduling method has the advantages of accurate scheduling, efficient resources and stable system.

Systems and methods are provided for distributed video storage and search with edge computing. The method may comprise caching a first portion of data on a first device. The method may further comprise determining, at a second device, whether the first device has the first portion of data. The determining may be based on whether the first piece of data satisfies a specified criterion. The method may further comprise sending the data, or a portion of the data, and / or a representation of the data from the first device to a third device.

An electronic device is provided. The electronic device includes a memory, a display having a flexible structure, at least one sensor configured to detect a change in screen size of the display, and at least one processor connected to the memory, the display, and the at least one sensor, wherein the memory is configured to store instructions that, when executed, cause the at least one processor to record a video of a screen of the display, based on a reference screen size equal to or greater than an actual screen size, and store a video in which a dummy area corresponding to a difference between the actual screen size and the reference screen size is cropped from the recorded video.

A driving recorder includes a capturing module, a communication module, a storage medium, and a processor. The capturing module is configured to capture a driving video. The communication module is configured to communicate with a server using wireless communication technology. The storage medium is configured to store the driving video. The processor is electrically connected to the capturing module, the communication module and the storage medium, and is configured to, when determining that a weather condition meets a predetermined condition, upload a time-lapse video to the server through the communication module, where the time-lapse video is related to the driving video.

The application discloses a multi-competition face searching system and method based on GPU parallel acceleration and Milvus, and relates to the technical field of face recognition and vector retrieval. The system is divided into an access layer, a service scheduling layer, a GPU inference engine layer and a three-level storage layer; GPU batch parallel face detection and 512-dimensional feature extraction are realized by relying on CUDA; video frame feature batch deduplication is completed by using high-speed operation of the GPU; Milvus adopts competition_id as a partition key to realize multi-competition data partition isolation, and is matched with Milvus-GPU to accelerate partition vector retrieval; the service scheduling layer dynamically divides GPU computing power priority, and preferentially guarantees real-time retrieval resources; the system configures hierarchical API keys and IP white lists to realize safety management and control, and is compatible with watermark storage and extra_data parameter transparent transmission functions. The application overcomes the defects of low efficiency of traditional CPU serial processing, large video storage redundancy and high full-database retrieval delay, has the advantages of fast processing speed, high hardware utilization rate, small storage cost and strong safety, and is suitable for competition personnel verification, park visitor retrieval, security blacklist control and other scenes.

The invention relates to a vehicle sentry video storage method and device, a vehicle and a storage medium, and belongs to the technical field of vehicles. In the method, a first storage space of a target storage device is used for storing a first video segment in a sentinel video of a target vehicle, and the sentinel video is continuously acquired by an image acquisition device after a sentinel mode of the target vehicle is started; a second storage space of the target storage device is used for storing a second video segment in the first video segments, and the second video segment is a video segment in the first video segments in which the preset object is detected to have a preset abnormal behavior. And after the second video segment is stored in the second storage space, deleting the first video segment from the first storage space. Through the method, occupation of useless information in the sentry video on the storage space can be reduced, meanwhile, the situation that the key video in the storage space is covered by the newly recorded video due to insufficient storage space is avoided, and the effective storage duration of the key video in the sentry video can be prolonged.

The present application relates to video image communication, in particular to a kind of highway traffic safety monitoring video processing device and system, comprising: by video acquisition module, obtain road traffic video image data, utilize video compression preprocessing module, by analyzing the importance degree of each part area in video image and the important degree of loss compression threshold value obtained in video image data LBP value and transmittance are compressed before the preprocessing of video image data, and by video encoding compression module, video image communication module, video decompression module, video storage module, alarm module and visualization module realize the efficient compression and transmission data of road traffic video image and accurate analysis and early warning.The present application can protect important data while preprocessing video image to improve the compression efficiency of video image, ensure the reliability of subsequent video data analysis result, obtain accurate and reliable warning signal.

The objective is to provide a video processing device, a video processing method, and a video processing program that enable high-quality and low-latency video conversion processing by performing highly parallel processing on a block-by-block basis while reducing access to DRAM. [Solution] The system includes an input image storage means that stores the input video as a pre-conversion frame image, a block storage means that stores the pixel data of a predetermined range of the pre-conversion frame image read from the input image storage means and is configured as a memory that allows random access to the pixel data, an interpolation means that calculates the converted pixel data from the pre-conversion pixel data by a predetermined interpolation operation, an output image storage means that stores the converted frame image consisting of the converted pixel data, and a video output means that outputs the converted frame image as an output video. The block storage means reads the image data by referring to the pixels in the pre-conversion frame image calculated by performing back projection on each pixel of a unit block formed by dividing the converted frame image into predetermined sizes, and the interpolation means reads the pixel data of pixels located around the pre-conversion pixels corresponding to the converted pixels from the block storage means by referring to the pixel data of the pixels located around the pre-conversion pixels, and calculates the converted pixel data by an appropriate interpolation operation method.