360 results about "Video storage" patented technology

A video streaming system including a video cache system having a cache database and a video storage device, and including a video server configured to communicate with a gateway system configured to store multiple video streams, communicate with a cloud backup system configured to store video in a file system, and communicate with a cloud server to receive a stream request, the stream request indicating requested video that comprises multiple video segments. The video server is further configured to receive the stream request and determine a playlist that indicates where on the video cache system, the cloud backup system, and the gateway system the video segments that are needed to fulfill the stream request are stored, and to communicate needed video segments to the video cache system in preparation for providing streaming video to fulfill the stream request.

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 invention relates to the technical field of video coding and decoding, and discloses a multi-mode large model-based generative video coding and decoding, which comprises a key frame selection module for determining a key frame by analyzing the semantic and motion characteristics of a video frame; the multi-modal semantic description generation module is used for generating semantic description according to the key frame and the video clip; the key frame compression module is used for realizing efficient compression through latent variable modeling and entropy coding; the key frame reconstruction module reconstructs a key frame by using a conditional diffusion model in combination with the compressed data and the semantic description information; and the video generation module generates a non-key frame by using the semantic description and the key frame, and reconstructs a complete video. Through key frame screening combining semantic and motion information, key frame compression and reconstruction based on a conditional latent variable diffusion model, and frame supplementation and frame insertion generation based on semantic description, efficient compression and high-quality video reconstruction can be realized under a low code rate, and the video storage efficiency and the visual quality are effectively improved.

The invention relates to a video access method and device, a video storage method and device, computer equipment, a storage medium and a computer program product. The embodiment of the invention can be applied to various scenes such as cloud technology, artificial intelligence, intelligent traffic, auxiliary driving and the like. The method comprises the steps of receiving a video access request; comparing an access video identifier in the video access request with a video identifier in each piece of image metadata on the block chain to obtain target image metadata, and extracting a target frame identifier from the target image metadata; comparing the target frame identifier with a frame identifier in each piece of storage metadata on the block chain to obtain target storage metadata; acquiring a distributed storage position corresponding to the target storage metadata, and extracting a target video frame based on the distributed storage position; performing integrity verification on the target video frame by using the integrity verification parameter; and under the condition that the integrity verification is passed, constructing a return video corresponding to the video access request based on the target video frame.

The invention discloses a low-power-consumption control method and equipment for monitoring equipment and a storage medium, and belongs to the technical field of video monitoring. The method comprises the following steps: processing a received image based on an RTOS system to obtain image processing data; the image processing data is recognized based on an image recognition algorithm, system scheduling of a data processing end is adjusted according to an image recognition result, and the system scheduling comprises dormancy of RTOS or operation of a Linux system; and if the system scheduling is to run Linux, encoding the image processing data to obtain target image data. According to the method, the image data collected by the RTOS is further accurately recognized through an image recognition algorithm, and if the target event is the target event, Linux is operated and a 4G network is opened to operate a video storage program, so that more complex intelligent applications are operated; otherwise, stopping the RTOS system and enabling the RTOS system to enter dormancy, so as to reduce the occurrence of mistaken touch conditions, realize accurate task scheduling and improve the validity of the collected data.

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 provides a DDR (Double Data Rate) interface arbitration control method suitable for video processing, which relates to the technical field of embedded computer video processing, and comprises the following steps of: respectively setting a data volume fixed length for a plurality of mutually independent video storage control channels; performing arbitration control on the current state through a DDR interface arbitration controller, if the write operation is operated, judging whether the current to-be-written cache amount of the video storage control channel reaches the data volume fixed length of the channel, and if the read operation state is operated, performing arbitration control on the current state; and if not, judging whether the current to-be-read cache amount of the video storage control channel reaches the data volume fixed length of the channel. According to the DDR interface arbitration control method, the abnormal condition that null data FIFO is read can be avoided, and the reliability is high; the channel switching frequency is reduced, and the data access efficiency is improved; frequent change of multiple addresses is avoided, the stability is high, and the stability and reliability requirements of multi-channel image data processing and image display of an embedded computer are better met.

The invention discloses a video storage and retrieval method, device and equipment based on a B + tree, and relates to the field of data processing. In the method, a video data stream is divided into a plurality of preset space grids; recognizing a dynamic target which continuously moves in the video data stream; determining a target space grid where the dynamic target is located, and generating a spatio-temporal trajectory fragment; constructing a B + tree index structure; receiving a retrieval request, and executing range query by using the B + tree index structure and the compound key to obtain a candidate fragment set; traversing the target spatio-temporal trajectory fragments in the candidate fragment set, determining a corresponding target identifier based on the query dynamic target, and accumulating all overlapping durations generated by the query dynamic target to obtain a total effective stay duration; and screening out the query dynamic targets of which the total effective staying duration is greater than or equal to a preset duration threshold value, and outputting the query dynamic targets as a final retrieval result. By implementing the technical scheme provided by the invention, the retrieval efficiency of the video data is improved.

The invention relates to the technical field of data compression, in particular to an Internet of Things terminal with a video data efficient storage function, comprising a data acquisition module used for acquiring video data; the video compression module is used for respectively acquiring a self-adaptive quantization parameter corresponding to each video frame image in the video data according to the information content and the display definition in each video frame image in the video data, compressing the video data according to the self-adaptive quantization parameter corresponding to each video frame image in the video data, and outputting the compressed video data; the compressed video data is obtained; the quantum security encryption module is used for performing encryption processing on the compressed video data to obtain encrypted data; the edge agent module is used for transmitting the encrypted data; and the video storage module is used for storing the encrypted data transmitted by the edge agent module, and better balance of video compression efficiency and quality is realized by setting proper quantization parameters.

The invention discloses a knowledge framework automatic generation method and device, computer equipment and a storage medium, and belongs to the technical field of artificial intelligence. The method comprises the following steps: analyzing a target video to obtain a video frame sequence and a video voice segment; identifying key frames in the video frame sequence, and performing image feature extraction on the key frames to obtain video image features; converting the video voice segment into a voice text, and performing text feature extraction on the voice text to obtain voice text features; in a knowledge base system, performing knowledge association on the video image features and the voice text features to generate an associated knowledge graph; and obtaining associated knowledge tags from the associated knowledge graph, and combining the associated knowledge tags to construct a target knowledge framework. The invention also relates to the technical field of block chains, and the target video is stored in a block chain network. According to the method, the construction efficiency of the knowledge framework is improved, the dependence on manual intervention in the construction process is reduced, and the construction accuracy of the knowledge framework is improved.

The invention discloses a vehicle-mounted anti-collision terminal based on single Beidou RTK positioning and V2V communication, and relates to the technical field of safety monitoring of vehicles, and the vehicle-mounted anti-collision terminal based on single Beidou RTK positioning and V2V communication realizes RTK centimeter-level positioning, double-antenna positioning lane-level early warning, vehicle-to-vehicle communication, electronic fence detection and anti-collision detection. Vehicle operation video storage, driver behavior analysis, alarm and other functions are realized. Compared with the prior art, the collision risk possibly encountered by the vehicle in the working process of the mining area can be recognized and warned in time, the collision risk of the vehicle in the working process is effectively reduced, accidents are reduced, and the safety of working personnel and equipment in the mining area is ensured.

The invention relates to the field of data storage and security, and discloses a distributed video storage and multi-level verification system and method based on a block chain to realize a safe, efficient, decentralized and traceable video data storage scheme. According to the method, a storage strategy is dynamically adjusted according to a video coding format, video data are fragmented, the fragmented video is encrypted through an anti-quantum algorithm, key separation and zero-knowledge verification are used to guarantee the security of the data, then the video data are stored to a plurality of edge nodes in a distributed manner, and index data of the video data are stored on a block chain. Stored video fragments are checked regularly through an on-chain and off-chain cooperative check mechanism, when a user requests to access the video, after the permission of the user is verified based on the smart contract of the block chain, the video fragments and decryption keys are acquired from corresponding edge storage nodes according to index data of the video, and the video fragments are decrypted. And after decrypting the video fragments by using the decryption key, splicing the video fragments into an original video.

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.

A system can perform image capture during a medical procedure. The system can record video from one or more video sources. The system can store the recorded video in a cached memory as stored video. The system can receive a triggering event, such as receiving a signal, operation of an actuator, or issuance of a voice command. In response to the triggering event, the system can capture a video segment from the stored video. Because the video segment is captured from stored video, the video segment can optionally include video and / or frames that occurred before the triggering event is received.

The invention discloses a CNN-based video vectorization retrieval method, system and device and a medium, belongs to the technical field of artificial intelligence application, and aims to solve the technical problems of low video retrieval efficiency and low accuracy in the prior art. The technical scheme is as follows: constructing and training a CNN convolutional neural network model: constructing the CNN convolutional neural network model; inputting the channel data of each frame of picture into a CNN convolutional neural network model for training, and obtaining a trained CNN convolutional neural network model; video frame sampling and preprocessing: uniformly extracting picture frames from an original video, preprocessing each frame of picture, and obtaining the preprocessed picture frames; entity feature extraction and vectorization: performing deep analysis on each frame of image through a trained CNN convolutional neural network model, and capturing and extracting key visual features in the image; performing visual feature aggregation and normalization; and video storage and multi-mode retrieval.

The invention discloses a national standard-based camera remote operation and maintenance method and system and a medium. The method comprises the following steps: acquiring image information shot by an IPC camera, and sending the image information to a video monitoring module for Web display, equipment management, historical video-on-demand, video storage, video distribution and video screenshot; and the video operation and maintenance module performs non-video stream analysis, network flow analysis, video stream frame rate analysis and equipment fault analysis according to historical video on demand, video screenshots and equipment response to obtain an operation and maintenance evaluation index, and matches a corresponding operation and maintenance scheme. According to the invention, IPC video equipment management and control are carried out based on a national standard protocol, and videos are pushed to a specified video monitoring module through a specified format protocol; according to the method, video stream-free analysis, network flow analysis, video stream frame rate analysis and equipment fault analysis are adopted, the problems of blurred screen and half screen caused by network congestion or video stream frame rate mismatching in national standard-based camera remote operation and maintenance are positioned, the workload of video operation and maintenance personnel is reduced, and the personnel focus on solving related problems.

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.

The present invention is a foundational video architecture and a framework for collecting surgical video at an enterprise scale. It enables hospitals to ingest, manage, and fully utilize patient surgical video within the hospital and to share video with designated users outside of the hospital. It is a passive solution that automatically records video during surgery and provides key clips post surgery. It stores video to the cloud and integrates videos to the patient's Electronic Health Record (EHR).

The invention relates to a monitoring resource scheduling method and system of an intelligent video monitoring system, and relates to the field of resource scheduling, historical monitoring videos of monitoring equipment are called, abnormal personnel and abnormal events are respectively identified to obtain a plurality of abnormal personnel and event sequences, personnel continuous anomaly degree analysis is carried out to obtain personnel continuous anomaly degrees, and the personnel continuous anomaly degrees are analyzed to obtain a plurality of abnormal event sequences. Performing event continuous anomaly analysis according to the event chain library to obtain event continuous anomaly, and performing anomaly density analysis according to the plurality of abnormal persons and the event sequence to obtain a plurality of anomaly densities, allocating and scheduling storage resources of the plurality of monitoring devices in the video storage server according to the continuous anomalies of the plurality of persons, the continuous anomalies of the plurality of events and the density of the plurality of anomalies to obtain a plurality of storage resources as monitoring resource scheduling results; the technical problems of unreasonable video monitoring storage resource allocation, inaccurate abnormal event detection and low data storage efficiency are solved.

The invention discloses a machine room management system, and relates to the technical field of machine room management. Comprising a monitoring equipment deployment module which is used for calculating the number of monitoring equipment required by the machine room according to the video monitoring electronic map, a preset monitoring equipment distribution density threshold value and the area of the machine room, and marking point locations of the deployed monitoring equipment in the video monitoring electronic map; the video monitoring module is used for marking the position relation between the machine room monitoring equipment and the corresponding point location and the monitoring range in the video monitoring electronic map, and displaying and storing the video information of the machine room in a video window of the monitoring equipment in real time; the video storage module is used for classifying and storing the video information of the machine room according to the serial number of the machine room monitoring equipment; the access control and camera linkage module is used for representing monitoring point positions and coverage ranges of the access control and the camera through an electronic map; and the personnel identification module is used for identifying the image of the personnel entering the monitoring area.

A method may include receiving, using a browser module of a computing device, a first webpage, wherein the first webpage is associated with a content element. The method may include receiving, using the browser module, a video, wherein the video is associated with the content element and a digital rights management technology. The method may include forming, using the browser module, an HTML element including the video. The method may include outputting, using the browser module, at least a portion of the first webpage to a display screen. The method may include outputting, using an operating system of the computing device, the video of the HTML element to the display screen, wherein the video is configured to be overlaid on the at least a portion of the first webpage on the display screen. The method may include storing, using a storage component of the computing device, the outputted video.

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 discloses a ship freight video monitoring processing device and method, and relates to a ship camera, a safety area database, a local video storage module, an LTE communication module, a cloud image and ship positioning information analysis system, a cloud video storage module, and a short message alarm module through cloud short message service (SMS). When the marine camera works, a shot video is stored in the video data storage module connected with the marine camera. Meanwhile, according to the characteristics of the carried cargoes, the images and the ship positions are transmitted to a cloud image data and ship positioning information analysis system at set intervals through an LTE communication module connected with the cloud image data and ship positioning information analysis system. And the cloud image data analysis system compares and analyzes the static image data, and automatically stores the images before and after the change and gives an alarm through a short message and the like once the change of the cargo carried by the ship is found, so that the automatic monitoring of the cargo is realized.

The invention relates to the technical field of video monitoring resource management, in particular to a dynamic video monitoring resource management system, which comprises a task emergency degree calculation module, a video storage resource measurement and calculation module, a video storage distribution and optimization module, a monitoring target residence analysis module and a video storage hierarchy adjustment module. According to the method, the task emergency degree is calculated through the event triggering information, the task triggering source, the event category and the coverage radius, accurate task priority division is achieved, the storage resource distribution proportion is dynamically adjusted, the high-priority task obtains better storage guarantee, the storage requirement of the high-emergency-degree task is calculated, the storage structure is optimized in combination with the data fragmentation rate, and the storage efficiency is improved. The storage space utilization rate is improved, the storage retention duration is adjusted according to the target entry frequency, low-priority task storage compression is executed in combination with the load state of the storage server, efficient release of the storage space is achieved, storage redundancy is reduced, and the storage stability and the task scheduling efficiency are improved.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for video storage optimization. One of the methods includes obtaining data for a plurality of video files of a content delivery system, wherein the plurality of video files corresponds to a set of video ladders, each video ladder identifying a respective transcoding version of video content represented by a video file of the plurality of video file and having different parameters; for each video file, executing one or more respective storage strategies to compute one or more respective output video scores, wherein each storage strategy uses trained models to evaluate characteristics of the respective video file and estimate future viewing of the video file; and in response to evaluating the output video scores computed for each of the plurality of video files, determining one or more actions to reduce storage for the plurality of video files.

The invention provides a three-dimensional parking space access record evidence storage and traceability system based on a block chain, and relates to the technical field of parking space access record evidence storage. Comprising a data acquisition module for acquiring multi-dimensional parking lot data in real time and preprocessing the acquired data; the block chain evidence storage module verifies a standard, packages the standard to generate a chain block, stores the chain block to an alliance chain node by using a Raft algorithm, links a video data hash value and parking lot access record data, and stores a video in an OSS; the business logic automation module is used for automatically associating the whole process to generate a complete record based on the chain type block data and the video association information; and the traceability query module supports any condition query, calls a complete record and forms a complete evidence chain in combination with the distributed block data. According to the invention, by calculating the hash values of the parking lot data and the video data, the whole-process record is calculated, and the quality and credibility of the overall operation management of the three-dimensional parking space are improved.

The embodiment of the invention provides a video file storage method and system, and the method comprises the steps: carrying out the recording and broadcasting of a video conference through a recording and broadcasting service, and storing an obtained video write-in file, thereby obtaining a video file; uploading the video file in the file storage to the object storage through the object storage operation service; under the condition that the total uploading duration is smaller than a first duration threshold value, the object storage operation service deletes the video file in the file storage after waiting for a target retention duration; and when the total uploading duration is greater than or equal to a first duration threshold, deleting the video file in the file storage through the object storage operation service. According to the method and the device, the problem that the local file storage capacity limitation cannot meet the massive requirement of video storage in the related technology is solved, and the effect of meeting the requirement of video storage is further achieved.

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.