99 results about "IPTV" patented technology

The invention relates to the technical field of data processing, and discloses an IPTV interface element differentiation display method and system. The method comprises the following steps: generating interaction prediction data through voice intention recognition and time sequence correlation modeling, constructing an intention-element probability matrix according to education scene and cognitive load weighted coding, calculating element importance based on the probability matrix and gradually adjusting visibility, dynamically reconstructing layout and predicting a scanning path according to spatial constraint, and obtaining an intent-element probability matrix. And detecting the attention state, selecting a guide mode, and outputting personalized display. According to the method and the device, the problems of inaccurate voice intention perception and insufficient interface adaptation intelligence degree in IPTV interface element differentiation display are solved. According to the invention, the dynamic adjustment precision of the interface elements in the multi-mode voice interaction environment and the personalized experience quality of the user are improved.

The invention relates to the technical field of data processing, and discloses a television terminal education application multi-mode user authentication method and system. The method comprises the following steps: monitoring a user face orientation offset degree and a voice interaction frequency through an IPTV set top box to obtain a learning participation degree index, comparing the index with a preset threshold 0.7 to execute a concentrated learning or distraction state authentication process, and dynamically adjusting through an authentication severity regulator to obtain a high-sensitivity or low-sensitivity authentication parameter, and performing weighted fusion calculation on the multi-modal biological characteristics of the user to obtain an identity confidence score associated with a learning state, and performing matching verification on the identity confidence score and a dynamic authentication threshold to obtain a user identity authentication result based on the learning concentration degree. According to the method and the device, the problem that a user authentication strategy in television terminal education application cannot adapt to dynamic change of a learning state is solved, and the accuracy of multi-modal user identity authentication based on learning concentration and the adaptability of user learning experience are improved.

The invention provides a video high-definition coding and low-delay transmission method for an IPTV (Internet Protocol Television) large-screen short play, which relates to the technical field of low-delay transmission, and comprises the following steps: defining an end-to-end measurement boundary and a time reference, configuring an acquisition mechanism of a network environment real-time state index, extracting high-definition coding metadata by adopting a coding end, and transmitting the extracted high-definition coding metadata to a transmission end; and timestamp information is marked and a unified structured operation state object is configured. A short window prediction path and a middle window prediction path are configured, confidence interval correction and lower limit fusion are combined to form a conservative available bandwidth estimation value, and when a network level label is judged to be a weak network level, a protection buffer mode and a low code rate pre-pulling strategy are triggered. The mechanism effectively solves the problems of frequent playing lagging and overhigh switching delay in a weak network environment in the prior art, so that a short play can still keep stable and continuous playing experience in a complex network environment.

Systems and methods are disclosed for generating an adaptive bitrate ladder for a content item based on the actual quality of the content item. A broadcaster determines a quality score of a content item and multiplexes a message indicating the quality score with data packets of the content item to a headend. The headend uses the quality score to determine an ABR ladder with a set of bitrates for the content item. The headend then transcodes the content item into the set of bitrates. The headend then transmits a plurality of network addresses, each corresponding to a stream at a particular bitrate, to a user gateway to enable the user gateway to make the streams available.

The invention relates to the technical field of data processing, and discloses a multi-scene interaction control method and system in an IPTV education platform. The method comprises the steps that a user behavior data set is generated through educational behavior Latin hypercube sampling, a standardized educational scene type is obtained based on three-dimensional similarity calculation, an educational space-time hypergraph is constructed to extract scene feature vectors, a resource optimization model with the minimum delay cost as the target is established, and a standardized educational scene is obtained. And pre-allocation of network bandwidth and server resources and rapid scene switching scheduling are realized. The problem that multi-scene interaction control in an IPTV education platform lacks specialized sampling, modeling and optimization technologies is solved. According to the invention, the response speed of education scene switching and the intelligent level of resource allocation are improved.

The invention relates to the technical field of data processing, and discloses an IPTV education content intelligent navigation method and system based on voice recognition. The method comprises the following steps: constructing a knowledge point-course-subject three-level semantic tree through an educational knowledge graph neural network; performing cognitive modeling on the learning behaviors of the user to generate a user cognitive file; semantic analysis is performed on the voice data, and a query vector is generated in combination with a historical track; matching the query vector with the semantic tree, and screening candidate contents in combination with the cognitive archive; and performing continuity evaluation based on the session state to generate a navigation result. According to the method and the device, the problem that the recommended content is lack of systematicness and individuation due to the fact that an existing IPTV education platform cannot understand the education content knowledge hierarchical structure and the user cognitive development law is solved. And the education content recommendation accuracy and the learning path continuity are improved.

The invention relates to a network automatic switching method and system for an IPTV private network and an OTT public network, and belongs to the technical field of network switching. The method comprises the following steps: acquiring a runtime identifier which is currently in a foreground state; determining an application type corresponding to the runtime identifier according to a matching result of the runtime identifier and a preset IPTV application white list; and switching a network interface of the Android system to an IPTV private network or an OTT public network based on the application type. According to the method, automatic switching between the IPTV private network and the OTT public network is realized, the flexibility of network resource allocation is improved, the network efficiency and security are improved, and the operation cost is reduced. And the whole network switching process is fully automatic, user intervention is not needed, and the user experience is improved.

This utility model discloses a heat-dissipating and dust-proof set-top box shell structure, including a main shell. An infrared receiving module is embedded in the front surface of the main shell. A detachable heat dissipation structure is installed on the upper surface of the main shell. A fin embedding groove is formed at the upper port of the main shell near the edge of the front surface. An HDMI interface is provided on the rear surface of the main shell, and an IPTV port is provided on one side of the HDMI interface on the rear surface of the main shell. This heat-dissipating and dust-proof set-top box shell structure allows the detachable heat dissipation structure, which is prone to accumulating dust or dirt, to be disassembled for washing or brushing. After washing and drying, it can be easily reinstalled. Subsequent maintenance can also be performed by disassembling this structure, making it more convenient. Furthermore, the all-metal design of the detachable heat dissipation structure effectively dissipates heat quickly through the heat dissipation fins, providing better heat dissipation protection for internal components.

Embodiments of the present disclosure disclose a data transmission method, device and equipment, and a storage medium, wherein the method comprises: in response to receiving a request message of a terminal device, determining a current working mode of a gateway device; wherein the current working mode of the gateway device comprises at least an IPTV mode or an OTT mode; the request message carries a first physical address of the terminal device; and the request message is forwarded to a wide area network port matched with the first physical address by using an Ethernet bridge matched with the working mode. Embodiments of the present disclosure can simply and accurately complete forwarding of the request message in the OTT mode or the IPTV mode.

The application discloses a channel distribution scheduling management method and system for IPTV live broadcast service, relates to the technical field of IT and software development, and aims to solve the problem that IPTV live broadcast service application mainly includes different application scenarios such as live broadcast unicast, live broadcast time shift, live broadcast review, and the number of access channels based on different province live broadcast sources is more than 300 channels, and the number of channels is relatively large, so that higher requirements are needed for storage system capacity, read-write IO ability and program saving redundancy security strategy, technical solution points are as follows: S1: intelligent channel distribution management, live broadcast cache flow service nodes realize multi-node channel access distribution management based on an intelligent channel distribution management mechanism, S2: accurate scheduling of terminal service request, accurate scheduling redirection mechanism is combined with different node associated different channel list configuration, and it is guaranteed that terminal request supports hotspot channel service service direct response to any live broadcast cache flow service node. The effect of reducing end-to-end network data transmission and reducing transmission delay is achieved.

The invention relates to the technical field of IPTV and the technical field of artificial intelligence, and discloses a service prediction method, device and equipment based on an IPTV platform and a storage medium, and the method comprises the steps: selecting an average value of the number of payment users of a plurality of reference stock services as a reference user number; obtaining target user information from the user portrait database, obtaining the user number of the target user group from the target user information, selecting the ratio of the user number of the target user group to the reference user number as a scale coefficient, and generating an adjustment coefficient according to the reference consumption amount, the reference conversion rate and the adjustment model, and according to the adjustment coefficient, the scale coefficient, the reference income and the prediction model, generating a prediction numerical value of the IPTV new service, obtaining a confidence coefficient of the prediction numerical value of the IPTV new service through a confidence coefficient model, writing the prediction numerical value and the confidence coefficient into a report template, and generating a prediction report of the IPTV new service. The method and the device are beneficial to improving the acquisition efficiency of the prediction report of the IPTV new service.

The application discloses a content recommendation method and device based on an IPTV interactive scene and a medium. Through a multi-dimensional three-dimensional perception network on a data collection layer, user description data corresponding to a target user is obtained; in a recall stage in a calculation and analysis layer, each dimension data in the user description data is processed through a double-tower model to obtain low-dimensional dense user and low-dimensional dense content feature vectors, and an initial screening related content item is obtained through a vector space approximate search algorithm; in a sorting stage in the calculation and analysis layer, a target content to be recommended is obtained through calculation and sorting by a reinforcement learning sorting algorithm module; an intelligent service matrix module in a recommendation engine service layer is instructed to optimize and process the target content to be recommended and feed back to the target user. The application solves the problems of new content recommendation difficulty, single and inflexible content recommendation and high calculation complexity, and improves the flexibility and diversity of content recommendation.

The embodiment of the invention provides an IPTV automatic configuration method and device and electronic equipment, and relates to the technical field of network communication. The method comprises the following steps: when an internet access port of an optical modem is connected with a WAN port of a wireless controller, an IPTV port of the optical modem is connected with a second LAN port of the wireless controller and a plurality of VLANs cover a preset VLAN value range, creating a plurality of to-be-selected VLANs on a wireless access point, adding a first LAN port of the wireless access point into the plurality of VLANs, performing packet capture on a second port of the wireless access point to obtain a plurality of first messages, and sending the plurality of first messages to the wireless controller; respectively analyzing each first message to obtain a VLAN ID (identity) carried by each first message; and configuring the first LAN port, the second LAN port, the first port and the second port according to the VLAN ID carried by each first message. By applying the application, the IPTV configuration can be simplified, and the user experience can be improved.

The invention relates to an IPTV video quality enhancement method and system, and relates to the technical field of video quality, and the method comprises the following steps: carrying out the inter-frame separation of an IPTV video stream, and obtaining a video frame sequence and inter-frame time sequence features; performing adaptive color gamut mapping on the video frame sequence based on the inter-frame time sequence characteristics to obtain color reconstruction sequence data; performing tensor decomposition and recombination on the color reconstruction sequence data to obtain a multi-dimensional texture feature map; performing dynamic bit depth optimization on the multi-dimensional texture feature map to obtain a high bit depth video data stream; and performing inter-frame dynamic compensation synthesis based on the high-bit-depth video data stream to obtain a quality-enhanced video output stream, thereby solving the technical problem that the enhanced video flickers, jumps or is distorted in detail in the motion process due to the fact that the temporal correlation between frames is often ignored in the prior art.

The invention discloses a content recommendation method and device based on an IPTV (Internet Protocol Television) interaction scene and a medium. Obtaining user description data corresponding to a target user through a multi-dimensional three-dimensional sensing network on a data acquisition layer; in a recall stage in the computational analysis layer, processing data of each dimension in the user description data through a double-tower model to obtain low-dimensional dense users and low-dimensional dense content feature vectors, and obtaining initial screening related content items through a vector space approximate search algorithm; in a sorting stage in the calculation and analysis layer, performing calculation and sorting through a reinforcement learning sorting algorithm module to obtain target to-be-recommended content; and an intelligent service matrix module in the recommendation engine service layer is indicated to optimize the target content to be recommended and feed back the target content to be recommended to the target user. The problems that new content recommendation is difficult, content recommendation is single and inflexible, and calculation complexity is high are solved, and flexibility and diversity of content recommendation are improved.

The present application relates to a kind of IPTV terminal edge computing method and system, it is related to IPTV terminal technical field, including the following steps, IPTV terminal edge computing method first analyzes user interaction behavior, obtains behavior mode.Based on this mode, system carries out dynamic matching and context processing to content request, generates content preference matrix.Then, the task scheduling of local edge node is optimized using the matrix.System subsequently carries out hardware resource mapping, obtains equipment adaptation parameter, and accordingly pipeline adaptation is carried out to video decoder, generates local rendering instruction.Finally, based on these instructions, video frame buffer is rendered asynchronously, and the output of smooth video play stream is solved.The problem that traditional centralization IPTV system often exists network delay, service quality decline when facing large-scale user access.

Disclosed in the present invention are a home gateway service identification method, apparatus and system. The method comprises the steps: a home gateway identifies, by determining an access destination address of a terminal connected to the home gateway, the type of a service request initiated by the terminal; if the request initiated by the terminal is identified as an IPTV service request, the home gateway routes the request to an IPTV private network plane; and if the request initiated by the terminal is identified as an Internet service request, the home gateway forwards the request to an Internet plane, and binds all remaining ports, except for a port used by the terminal carrying an IPTV service, to a public network connection. In the present application, two or more services can be simultaneously accessed at a single port, thereby satisfying the requirement for a television to simultaneously access a plurality of services, and by performing downlink port binding of the home gateway on the basis of service identification, ensuring the security of the ports.

The invention relates to the technical field of IPTV (Internet Protocol Television) value-added services, in particular to a method for preventing false ordering of an IPTV value-added service, which comprises an operator, an SP (Service Provider), a cashier desk, a payment plug-in, a user data interface and the IPTV, a user browses the value-added service provided by the SP through an IPTV set top box and initiatively initiates an ordering request based on the own demand, and when the SP receives the ordering request of the user, the SP sends the ordering request to the IPTV. A payment plug-in is called, the payment plug-in is a unique cashier entrance, real equipment of a user is recognized through technologies such as equipment fingerprints, the authenticity of a request source is ensured, the payment plug-in carries a cached unique equipment identifier, a background interface of a cashier is accessed, and the background of the cashier executes multiple verifications; according to the method, false violation ordering behaviors are accurately recognized and intercepted in time, violation ordering is blocked before ordering is completed, economic losses of users are avoided, bad debt losses of operators are reduced, the operators can intercept malicious violation ordering in advance, trust of the users to the operators can be increased, and user stickiness can be increased.

The application provides a video program playing system and method adapting to a digital retina architecture, and relates to the technical field of IPTV. An end-side node in the system is used for initiating a video program playing request; a cloud node is used for determining a target video program and an associated program picture feature set based on the video program playing request, and transmitting an encoded video stream to the end-side node and an encoded feature stream to an edge node; the edge node is used for receiving the feature stream and performing feature analysis, determining display information and sending the display information to the end-side node; the end-side node is used for receiving the video stream and decoding to obtain a video program image, receiving the display information and decoding, and then performing synchronous and mixed rendering of the video program image and the display information to obtain a program picture and play the program picture. By building the architecture of the end-side node, the edge node and the cloud node, the auxiliary service can be flexibly adjusted, the compatibility with the existing IPTV architecture is good, and the architecture support can be provided for introducing the "digital retina" technology.

The application discloses an IPTV program time period analysis method and system, and mainly relates to the big data analysis technical field of IPTV programs. The method comprises the following steps: key frame extraction and scene segmentation are performed on media video to obtain a plurality of semantic time periods and content labels corresponding to each semantic time period; user behavior logs are analyzed, key time points in the video are recognized and clustered to obtain a plurality of behavior hotspot time periods and behavior characteristics corresponding to each behavior hotspot time period; the semantic time periods and the behavior hotspot time periods are matched and aligned, and analysis and merging are performed according to preset merging rules to output final time period division results and corresponding labels. The application has the beneficial effect that it can intuitively display content corresponding to the time periods, help users jump to watch and provide more efficient and accurate watching experience.

The application provides a program sequence recommendation method and system based on group interest multi-level decoupling, and belongs to the technical field of personalized recommendation. The method comprises the following steps: a group sequence encoder is used to encode a group interaction sequence processed by an embedding layer to obtain a group representation; a group-level interest decoupling module is used to decouple the interest representations of different members from the group representation; a group variational autoencoder in a member-level interest decoupling module is used to further decouple the interest representations of different members decoupled by the group-level interest decoupling module to obtain decoupled representations of different members and a group consensus representation; the decoupled representations of different members and the group consensus representation are used for next item prediction to obtain candidate item scores of the group at the next moment, and the group is recommended. By using the application, the problem of poor IPTV program recommendation accuracy and robustness of the existing family group can be solved.

The invention relates to the technical field of artificial intelligence and the technical field of project management, and discloses a summary report generation method, device and equipment based on a large language model.The method comprises the steps that a plurality of preset features with the similarity higher than a preset value are selected as a plurality of optimal features, taking the knowledge texts associated with all the preferable features as a plurality of preferable knowledge texts; selecting the preferable knowledge text with the highest comprehensive score as a target knowledge text, obtaining the influence range of the reference item and the solution of the reference item from the target knowledge text, and fusing the characteristics of the influence range of the reference item, the characteristics of the solution of the reference item and the splicing characteristics of the development data of the IPTV item to obtain the target knowledge text. And generating fusion features of the IPTV project, inputting the fusion features into the large language model, and generating a summary report of development data of the IPTV project through the large language model. The summary report generation efficiency can be improved.

The application discloses an IPTV set top box video content intelligent recommendation method based on deep learning, which comprises data collection, data optimization processing, personalized video content recommendation, recommended video content optimization sorting and video content intelligent recommendation. The application relates to the technical field of digital data processing, in particular to an IPTV set top box video content intelligent recommendation method based on deep learning. The method innovatively combines user preferences and business constraints to realize the balance between personalization and business needs. The method innovatively proposes a multi-view user video interaction graph construction, a double-layer attention mechanism and a multi-level contrast loss function design method, so that more accurate personalized video content recommendation is realized. An optimization target function is designed, a population role differentiation search strategy and a dynamic inertia weight are used to improve the optimization algorithm, the optimization of recommended video content sorting is realized, and the effect of video content intelligent recommendation is significantly improved.

The embodiment of the invention provides an earthquake early warning information method, device and equipment and a computer readable storage medium. The method comprises the following steps: receiving first earthquake early warning information sent by broadcast control equipment; the first earthquake early warning information is used for earthquake early warning of an epicenter position; converting the first earthquake early warning information into second earthquake early warning information according to the relative position between the specified position of the xth area and the epicenter position; x is a positive integer smaller than or equal to Y; y is the total number of areas to be subjected to earthquake early warning; wherein the second earthquake early warning information is used for multicast to the IPTV terminal in the xth area. By adopting the method disclosed by the embodiment of the invention, resources can be saved, the transmission delay of the earthquake early warning information is reduced, and the transmission stability is improved.

This application provides a method and apparatus for diagnosing IPTV service faults, relating to the field of IPTV technology, and capable of accurately locating faults in the IPTV service process. The method includes: receiving a fault query request for the IPTV service, the fault query request including the service account of the IPTV service; responding to the fault query request, querying the viewing request records associated with the service account based on the service account; if viewing request records are found, obtaining the status of the service account and the authentication records associated with the service account; if the status of the service account is abnormal, or the authentication records are abnormal, determining that the authentication is faulty.

Systems and methods are disclosed for generating an adaptive bitrate ladder for a content item based on the actual quality of the content item. A broadcaster determines a quality score of a content item and multiplexes a message indicating the quality score with data packets of the content item to a headend. The headend uses the quality score to determine an ABR ladder with a set of bitrates for the content item. The headend then transcodes the content item into the set of bitrates. The headend then transmits a plurality of network addresses, each corresponding to a stream at a particular bitrate, to a user gateway to enable the user gateway to make the streams available.

The invention relates to the technical field of IPTV, and discloses an IPTV-based playing control method, device and equipment and a medium, and the method comprises the steps: carrying out the semantic extraction of a description text of a public opinion event and the professional knowledge of the public opinion event, and obtaining a semantic vector of the public opinion event; generating a popularity index of the description text of the public opinion event, when the popularity index is greater than a preset index, performing emotion recognition on the description text of the public opinion event by adopting an emotion recognition model to obtain an emotion tag, and integrating the name of the public opinion platform, the description text of the public opinion event, the emotion tag and the popularity index to obtain public opinion prompt content. And splicing the semantic vector of the public opinion prompt content, the semantic vector of the alarm event and the semantic vector of the work order event to obtain a fusion vector, processing the fusion vector through a large language model, and generating a play control strategy of the IPTV live broadcast content. According to the invention, the playing control efficiency of the IPTV live broadcast content can be improved.

The invention discloses a service attack behavior detection method and device and electronic equipment. The method comprises the following steps: obtaining random noise, and inputting the random noise into a generator in a generative adversarial network model to obtain boundary data, the boundary data representing virtual data points of a boundary between attack traffic and normal traffic; inputting the boundary data into a discriminator in the generative adversarial network model to obtain a decision threshold; service flow data to be detected are obtained, and the service flow data are service flow data of an internet protocol television (IPTV); inputting the service flow data into a discriminator for discriminating to obtain a detection result of each data point in the service flow data; and determining the data points of which the detection results are smaller than a decision threshold as abnormal data points with attack behaviors. The IPTV service attack behavior detection method and device solve the technical problem that the accuracy of IPTV service attack behavior detection is not high in the prior art.

The invention discloses an IPTV-based human-computer interaction multi-command identification method. The method comprises the following steps: defining a to-be-executed command sequence; loading a task capability library, and extracting a specific rule of a scheduling strategy; the task capability library pre-configures and stores task capability information and scheduling strategy rules; the task capability information comprises capability subject information, a capability subject communication mode, a subject task and a task relationship; acquiring a user instruction, and generating a specific node of a to-be-executed command sequence; and executing a control task according to the to-be-executed command sequence, wherein the control task comprises the steps of extracting a command fragment from the to-be-executed command sequence, determining an equipment main body according to the command fragment, performing information interaction with the equipment main body, executing a communication task and sending a control instruction. According to the technical scheme, execution strategy optimization of multiple devices and multiple control instructions can be achieved, and the problems that a traditional single-round dialogue system cannot efficiently recognize and execute multiple instructions, so that the interaction process is tedious, and the user experience is poor are solved.

A motion-sensing training method and system are disclosed. The method includes: determining the target motion-sensing signal, the quasi-action period, and the corresponding sub-action period in a first motion-sensing exercise; receiving training motion-sensing signals sent by a student client; performing response processing based on the training motion-sensing signals to generate a video stream and sending it to a first IPTV client; obtaining the absolute value of the difference between the position parameters of each training motion-sensing signal and the corresponding target motion-sensing signal; if the absolute value of the difference is less than or equal to a first threshold, the motion is rated as excellent if the training motion-sensing signal is in the quasi-action period, and as beat-downgraded if the training motion-sensing signal is in the sub-action period; determining the excellent rate and beat-downgrade rate of all motion-sensing exercises to determine the training score of the first motion-sensing exercise; and sending the training score to a second IPTV client. This enables low-latency, highly stable cloud-based motion-sensing training with a highly accurate scoring mechanism.