114 results about "New media" patented technology

A method for processing media data includes identifying in a media presentation description (MPD) an indication of a Tuning-In Media Segment. The Tuning-In Media Segment comprises a latest media data for a client device to start with when tuning into an ongoing live streaming service. The latest media data is selected from either a current media segment that is being generated by the ongoing live streaming service or a previous media segment generated by the ongoing live streaming service based on a length of the current media segment. The MPD is stored by the client device prior to the client device tuning into the ongoing live streaming service. The method further includes performing a conversion between a visual media data and a bitstream according to the MPD.

The invention relates to the technical field of artificial intelligence and education technology cross fusion, and particularly discloses a new media course intelligent learning resource generation system based on generative AI, and the system obtains the multi-dimensional state data of a learner through the means of eye movement tracking, electroencephalogram collection, interaction behavior analysis and the like, and constructs a high-dimensional state space through fusion; differential induction logic programming and a depth feature extraction network are cooperatively compressed into a low-dimensional semantic meta-state space, and the model interpretability and decision-making efficiency are improved; dynamic matching of personalized resource types and difficulty levels is realized based on a graph neural network and reinforcement learning; calling a multi-modal generation model to generate texts, videos or interactive contents as required, and introducing a cross-modal consistency verification mechanism to guarantee the output quality; the system also has an online adaptive optimization capability, combines a symbol rule recombination mechanism and a differential privacy protection strategy, and takes account of user privacy security while ensuring long-term stable operation of the system.

The invention discloses an advertisement creativity dynamic generation and adaptation method and device, equipment and a medium. The method comprises the following steps: constructing a media characteristic knowledge graph for storing context characteristics, content format specifications and user portraits of different media platforms; carrying out multi-modal semantic analysis on the input initial creative material and extracting semantic elements; inputting the knowledge graph and the semantic elements into a generative adaptive model for processing, and outputting adaptive creative content which is matched with a target media platform in context and format and retains core semantics; putting the adaptive creative content on the target media platform and collecting deep behavior data generated by interaction between the user and the adaptive creative content; and performing iterative optimization on the generative adaptive model based on the depth behavior data, and reversely updating the media characteristic knowledge graph according to the optimization. According to the invention, deep and real-time intercommunication between creative design and media characteristics is realized, and the propagation effectiveness and brand consistency of advertisement creativity are improved.

The invention relates to the field of video generation, in particular to a new media video automatic generation method and system based on artificial intelligence. The method comprises the following steps: identifying user input information; performing deep semantic analysis on the user input information, and constructing a time sequence demand curve; performing role behavior analysis according to the time sequence demand curve, and constructing a role behavior data packet; performing visual expression demand analysis according to user input information, and constructing a multi-level 3D scene; performing dynamic behavior scene fusion on a multi-level 3D scene by using the role behavior data packet, and outputting a video frame sequence; and performing intelligent compression and dynamic code rate optimization on the video frame sequence, and outputting a finished video. According to the invention, full-process automatic, high-quality and high-efficiency generation of the new media video from content conception to finished product output is realized.

The invention discloses a new media operation optimization method and system based on a data closed loop. The system comprises a data acquisition module, a three-dimensional label system module, an intelligent analysis module and a closed loop optimization module. The data acquisition module synchronizes core operation data through an API, and captures unstructured comment data through an RPA; the three-dimensional tag system module is used for carrying out tagging processing on platform characteristics, content forms and user behaviors on the data; the intelligent analysis module generates and outputs optimization suggestions through content diagnosis, flow prediction and strategy; and the closed-loop optimization module feeds back an analysis result to an external content generation system, and new content data is transmitted back to form a closed loop. According to the system, the problems of operation data dispersion, insufficient analysis and optimization lag are solved, automatic data acquisition, structured analysis and dynamic optimization are realized, and the operation efficiency and the traffic conversion effect are improved.

The application relates to the field of information technology, in particular to an intelligent processing method and system for new media data. The method comprises the following steps: reading historical new media material data; analyzing the historical new media material data, calculating an availability estimation value of the historical new media material, and sorting and screening the historical new media resource according to the availability estimation value; storing the analyzed historical new media material data in a classified manner, and establishing a multidimensional index of the historical new media material data; receiving a new media content generation demand, converting the new media content generation demand into a new media material matching condition; screening and sorting new media materials based on the new media material matching condition, and selecting the first N new media material data as basic new media material data; and fusing a theme content based on the basic new media material, generating multi-form new media content, and realizing intelligent processing of high-efficiency, high-quality and self-optimizable new media content.

The invention discloses a new media advertisement putting and monitoring integrated system, and the system comprises a user portrait construction module which obtains the browsing behavior, geographic position and social interaction data of a user at a mobile terminal, a PC terminal and an intelligent terminal through a multi-source data collection unit, and generates a dynamically updated user interest tag; the intelligent advertisement putting engine is used for matching advertisement contents with user portraits in real time based on a deep reinforcement learning algorithm and supporting programmed cross-platform bidding and private market direct putting; according to the invention, through multi-dimensional effect evaluation, emotion analysis and user life cycle value prediction are introduced, and a comprehensive evaluation system is constructed; data security is enhanced, and through homomorphic encryption and block chain technologies, user privacy is guaranteed and a non-tampering effect auditing voucher is provided. The customer obtaining cost of advertisers can be obviously reduced, and the rate of return on investment is improved.

The invention discloses a new media integrated interactive display device, which belongs to a new media industrial display device, and comprises an interactive module and a convex groove body, and a middle plate assembly is arranged in an inner cavity of the convex groove body; the middle plate assembly comprises a middle plate body integrally formed with the convex groove body, and a plurality of rows of water discharging thin openings are evenly formed in the top of the middle plate body. An intra-cavity pressure-bearing seat is arranged in the hollow cavity in a sealed and sliding mode, and a combination unit communicated with the hollow cavity is arranged in the preassembling opening. After the electric water pump pumps a water source into the liquid cavity, the water source continuously flows out from the water outlet thin opening, a layer of lubricating water film can be formed between the scraper blade and the middle plate assembly, and the frictional contact condition between coal and the surface of the groove middle plate body 201 is simulated through the water film flowing on the surface of the middle plate body 201 when the reversed loader runs. The authenticity and immersion of experiences of participants are enhanced, and in addition, the middle plate assembly can sense the abrasion depth of the middle plate assembly in the running process of the reversed loader.

Systems, methods and non-transitory computer readable media for inference based on different portions of a training set using a single inference model are provided. Textual inputs may be received, each of which may include a source-identifying-keyword. An inference model may be a result of training a machine learning model using a plurality of training examples. Each training example may include a respective textual content and a respective media content. The training examples may be grouped based on source-identifying-keywords included in the textual contents. Different parameters of the inference model may be based on different groups, and thereby be associated with different source-identifying-keywords. When generating new media content using the inference model and a textual input, parameters associated with the source-identifying-keyword included in the textual input may be used.

The invention provides a new media intelligent platform switching method, system and device and a medium. The method comprises the steps that a machine-readable constraint knowledge base is constructed based on multiple new media platforms, brands and product information; and performing dynamic prompt word arrangement based on a user request and the constraint knowledge base, generating structured prompt information and a strong constraint output template, generating output fields by a content generation model field by field according to the structured prompt information and the strong constraint output template, performing field-level instant verification on the output fields, executing a field regeneration mechanism when a verification result is abnormal, and performing field-level instant verification on the output fields. Returning to dynamic prompt word arrangement when all verification results are verified and a regeneration threshold value is reached, regenerating structured prompt information and corresponding output fields, and generating structured candidate texts when all verification results are passed; a plurality of structured candidate texts are obtained based on a multi-round controlled generation mechanism to generate a candidate content set, quality evaluation is performed on each structured candidate text, a comprehensive gating input vector is constructed, the structured candidate texts are reordered based on the quality evaluation, and final output content is obtained.

The present disclosure relates to a firmware upgrading method and device, electronic equipment and storage medium. The method comprises: in response to an upgrading instruction of new media for firmware data to be upgraded, receiving filled-in structure data corresponding to the new media; the filled-in structure data comprises a preset callback function corresponding to the new media; the preset callback function is used to obtain preset upgrading data corresponding to the new media; in response to a first calling instruction, calling the preset callback function based on the filled-in structure data to obtain a preset check value in the preset upgrading data; comparing the preset check value with a current check value of the firmware data to be upgraded to determine current upgrading data corresponding to the firmware data to be upgraded from the preset upgrading data; and updating the firmware data to be upgraded based on the current upgrading data. According to the embodiments of the present disclosure, the code of the upgrading core layer does not need to be modified, the whole set of upgrading logic can be reused, the code reuse rate is improved, and the maintenance cost is reduced.

The invention relates to the technical field of commercial operation, and discloses an enterprise new media operation strategy generation and dynamic correction method based on a large model, and the method comprises the steps: obtaining an industry label, enterprise user data, industry hotspot data, enterprise content data in a specified time period, and enterprise competitive product data of a new media enterprise; determining the adjusted hotspot keyword set, the popular keyword set and the key weight of each popular keyword in the adjusted popular keyword set of the new media enterprise; determining follow-up content data of the new media enterprise; and platform suggestion data and operation decision data of each platform of each historical content in the follow-up content data are determined, and operation strategy production and dynamic correction of the new media enterprise are realized. According to the method, the blindness and the hysteresis of the strategy can be avoided, the whole-process intelligence of the operation strategy from data mining to landing execution is realized, the market suitability, the accuracy and the iteration efficiency of the strategy are improved, and the content transmission ability and the core efficiency of user conversion are enhanced.

The invention relates to the field of computer network application, and particularly discloses a front-end user-oriented new media platform releasable rumor refuting method. Comprising the following steps that 1, content analysis is carried out, a target is determined, total information in the target is extracted, and the total information comprises one or more of a video picture, audio data, a title text, brief introduction content, a video link and a homepage link of an initiating user; step 2, information integration: converting the audio data into characters, extracting text information in a video picture, and integrating to obtain an event description text in combination with the character content included in the full-amount information; 3, rumor recognition, wherein rumor recognition and type judgment are conducted through a large language model; and 4, result feedback: feeding back an identification result to the initiating user. According to the new media platform releasable rumor refuting method facing the front-end user, real-time detection and deep recognition can be carried out, and the front-end user can be quickly fed back.

This utility model relates to the field of multimedia equipment technology, and in particular to a new media recording and broadcasting device. The new media recording and broadcasting device includes: a base, a display screen, a keyboard panel, a mounting bracket, a dual-axis motor, a fixing ring, a ventilation duct, a sleeve, and a sealing plate. The base has a hollow square structure with a handle on one side. The keyboard panel is connected to the top of the base and has air inlets. The display screen is rotatably connected to the keyboard panel. Two side openings are provided on each of the two side walls of the base. Fixing plates with first threaded holes are provided at the four corners of the inner wall of the base. The mounting bracket, located inside the base, includes: a top frame, a bevel, an opening slot, a port plate, and a connecting plate. This utility model, through the cooperation of the dual-axis motor, the ventilation duct, and the spiral blades, can effectively exhaust air from inside the new media recording and broadcasting device, ensuring the normal operation of electronic components.

The invention discloses a real-time dynamic publishing system for new media, which comprises an information acquisition unit, an information processing unit, a content typesetting unit and a target display unit, and is characterized in that the information acquisition unit is used for acquiring various information of target dates sent by a plurality of different media and target information uploaded by a target user; the information processing unit is used for processing the target date and sending various information of the target date and the target information to the processing unit, the various information comprises text information and image information, and the target information comprises age information of the target user, click rate information of the target user on specific information and preference information of the target user. The technical problems that new media release information obtained by a user is inaccurate and network resources are wasted due to the fact that new media release cannot be combined with target information of the user are solved.

The invention discloses a media data transmission method which is applied to a first application module of a mobile terminal, the mobile terminal further comprises a second application module in communication connection with the first application module, and the first application module is used for communicating with a media data acquisition device. The method comprises: generating media data in response to a media data acquisition device; receiving media data generated by a media data acquisition device; the media data is automatically sent to a second application module of the mobile terminal, and the data access permission of the second application module is larger than that of the first application module. Since the first application module automatically sends the received media data to the second application module of the mobile terminal when the media data acquisition device generates the new media data, a user does not need to manually select the media data needing to be downloaded in the first application module, and only the media data are generated on the media data acquisition device, so that the user can download the media data conveniently. Therefore, the media data can be automatically downloaded to the second application module, and the user experience is improved.

The application discloses a new media intelligent online editing method based on artificial intelligence and belongs to the technical field of new media online editing, which comprises the following steps: S1, establishing a double-path parallel editing architecture; the double-path parallel editing architecture comprises a semantic understanding and content rewriting path and a fact information retrieval and proofreading path, wherein the semantic understanding and content rewriting path is used for performing semantic understanding and content rewriting, and the fact information retrieval and proofreading path is used for performing fact information retrieval and proofreading; S2, realizing a forced arrangement of prior retrieval and subsequent rewriting; before starting the semantic understanding and content rewriting path to perform semantic understanding and rewriting on input content, the fact information retrieval and proofreading path is forced to be triggered to complete fact information retrieval.

Systems, methods, and apparatus related to controlling media scan in memory devices. In one approach, a controller manages a media scanning process for a memory (e.g., NAND flash memory) as a function of temperature. The controller collects temperature data from one or more sensors of the memory. Using the collected temperature data, the controller determines a moving average temperature. Based on the moving average temperature, the controller updates a frequency of the media scanning process.

This application relates to a new media image processing method and system based on an AI large-scale model, comprising the following steps: acquiring the original target image and user interaction instructions; extracting processing requirement features and output requirement features based on the user interaction instructions; analyzing the original target image and processing requirement features using a first AI large-scale model and generating a hierarchical processing strategy; performing hierarchical image processing on the original target image using a second AI large-scale model based on the hierarchical processing strategy to obtain an initial processed image; and processing the initial processed image based on the output requirement features to generate an output target image. This application proposes a new media image processing method based on the collaborative work of two AI large-scale models. Through the synergistic cooperation of the two AI large-scale models, the entire process from understanding user intent to high-quality output is optimized, which enhances the generalization ability of the processing results.

The invention discloses a new media operation shooting support which comprises a bearing table, two sliding grooves are formed in the two sides of the upper end of the bearing table respectively and are arranged in a staggered mode, inclination adjusting mechanisms are arranged in the sliding grooves, and vertical plates are rotationally connected to the two sides of the upper end of the bearing table respectively. One inclination adjusting mechanism on the same side is connected to one end of one vertical plate on the same side, one side of each vertical plate is provided with an angle adjusting mechanism, the upper end of each vertical plate is rotationally connected with a fixing frame, the angle adjusting mechanism is connected with the fixing frame, and the fixing frame is rotationally connected with a connecting arm. According to the invention, stable installation and full protection of the shooting support on equipment can be realized, the use convenience and flexibility of the shooting support can be ensured, the service life is greatly prolonged, in addition, the shooting support can be contracted and unfolded, flexible storage is facilitated, two pieces of equipment can be fixed at the same time, and the shooting sufficiency is improved.

The invention relates to the field of new media content data processing, and particularly discloses a new media content monitoring method and system based on AI recognition, which performs refined modal separation and independent feature extraction on massive new media data through a deep learning model, and deeply fuses visual, audio and text features by using a cross-modal attention mechanism, so as to obtain a new media content monitoring result. Therefore, obscure risk semantics under multi-mode interaction can be accurately captured. On the basis, a double-channel evaluation mechanism is introduced, known violation recognition and unknown anomaly detection are processed in parallel, and the potential risk of deviating from the normal state can be sensitively captured while conventional violation is intercepted. For the detected abnormal content, a multi-dimensional risk outbreak potential evaluation model covering timeliness, influence and the like is introduced, a key sample set with extremely high insight value is screened out from the perspective of dynamic evolution, and then a large language model is driven to generate an accurate theme abstract.

The invention discloses a new media content propagation path optimization system based on AI analysis, and belongs to the field of data processing, the new media content propagation path optimization system based on AI analysis comprises a common sense analysis module used for starting an AI analysis model when an uploader uploads a popular science video to a platform, the video content is scanned based on a pre-trained common sense database, whether the video content contains pseudo science popularization features or not is recognized, and if the video content is judged to violate scientific common sense, uploading of the video is refused, an uploader is notified, and false information spreading is prevented; compared with the prior art, the method has the beneficial effects that pseudo science popularization preliminary screening is completed through the AI analysis model, the video is pushed to an authentication expert in the related field for uncertain video content, whether the video is taken off is determined on the basis of feedback of the authentication expert, a science popularization content screening system is constructed, a false information propagation chain is blocked, and the screening efficiency is improved. And group cognitive anxiety is relieved.

This invention discloses a method for transmitting new media video data information based on digital technology, relating to the field of information and communication technology, including the following steps: S100, extracting semantic features from received video data frames, modeling image structure information pixel by pixel, and constructing a semantic feature map; S200, matching the semantic feature map of the current frame with the semantic feature maps of adjacent reference frames, calculating semantic offset magnitude indicators and structural disturbance change indicators, and marking interference candidate regions. This invention constructs an anomaly detection and repair closed loop based on semantic feature information maps, breaking through the limitations of traditional bit-level verification, achieving multi-dimensional feature fusion and structural consistency comparison, and possessing higher recognition accuracy and response efficiency. It can achieve accurate compensation of local abnormal regions without increasing transmission load, significantly improving the semantic stability and fault tolerance of video in complex network environments.

The application discloses a media data synchronization method, device, system and storage medium, comprising: when receiving a media data change notification issued by a production end, triggering an incremental query operation based on a preset debouncing mechanism and a preset time window to obtain a local media record; obtaining new media records with identifiers greater than the processed identifiers from a preset media database according to the processed identifiers in the local media record; double filtering the new media records, and analyzing the filtered media records to synchronize the analyzed media information objects to a media display interface. Compared with the current media content synchronization scheme which cannot timely present cross-application media content synchronization, the application realizes millisecond-level real-time synchronization of cross-application media content in a vehicle-mounted multimedia system through an event-driven synchronization mechanism, debouncing and merging processing, incremental query and double filtering strategies, while greatly reducing system resource consumption.

The embodiment of the invention discloses a media file processing method and device. The method comprises the steps that a draft list page is displayed, the draft list page comprises information of a plurality of media drafts, and the media drafts comprise original media files and editing parameters corresponding to the original media files; in response to an operation of triggering and combining at least two first media drafts in the multiple media drafts, displaying a draft editing page, the draft editing page displaying an intermediate media file, the intermediate media file being obtained by combining the at least two first media drafts, and the intermediate media file being obtained by combining the at least two first media drafts; the intermediate media file is used for generating a new media draft or publishing a media platform. According to the invention, the flexibility of media file synthesis and the user experience can be improved.

The invention discloses a cross-platform collaborative new media intelligent content pushing method, relates to the technical field of content pushing, and is used for solving the problems that the cognitive load of a user is increased and the browsing concentration degree is reduced, classifying the content focusing state of the user by monitoring cross-platform switching information of the user, and judging whether to enter a focusing judgment mechanism or not. When entering a focusing judgment mechanism, calling and searching content data, calculating a semantic pressure gathering proportion by utilizing semantic clustering processing, monitoring browsing duration, calculating a browsing state score, judging whether a user is in a content overload state by combining with the fused semantic pressure gathering proportion, and when the user is in the content overload state, detecting content refreshing density and page skip reading rate; the information pressure coefficient is calculated, the pushing adjustment index is generated, the configuration database is accessed to obtain the content pushing reference, the pushing adjustment index and the content pushing reference are fused to generate the adjusted content pushing reference, the adjusted content pushing reference is used for dynamically controlling the content pushing rhythm, and the content browsing experience of a user is improved.

The application discloses an AI intelligent large model-based manuscript generation service auxiliary system, and particularly relates to the field of new media intelligent writing, and is used for solving the problem that a large language model is easy to generate distorted content in emergency reporting, is a coherent cooperation link of traceability mark, differential gap locking, low-delay authoritative retrieval, double-parameter driven restricted rewriting and consistent write-back, synchronously compresses information vacuum and limits semantic drift in the whole process of emergency reporting, and thus a continuously updated and accurately traceable fact skeleton is constructed. Context curvature and overlapping residual error double-parameter cross monitoring model deflection and source conflict, support vector regression real-time output rewriting trigger threshold, so that high-risk paragraphs are iterated in real time and the main manuscript remains stable, and the probability of illusion content overflow is significantly reduced; and the application lays a solid foundation for the media to continuously output credible reports in a high-concurrency public opinion environment, so that the time limit is guaranteed while effectively inhibiting the spread of illusions.

The utility model belongs to the technical field of live broadcast tools, and particularly relates to a new media live broadcast holder structure which comprises a connecting column, the connecting column penetrates through and is vertically and slidably connected with a lifting rod, the top end of the lifting rod is fixedly connected with a mounting seat, the side face of the mounting seat is rotatably connected with a mounting frame, and the mounting frame is provided with a placement frame for positioning a live broadcast tool. An adjusting mechanism is arranged on the mounting frame; by arranging the adjusting mechanism, the height of the mounting base can be flexibly adjusted, the requirements of different live broadcast scenes for the height of the live broadcast device are met, the sliding piece slides in the horizontal direction of the mounting frame, the placement frame is driven to move, and the clamping piece is pushed to be separated from the mounting frame, so that fixation of the placement frame can be relieved; the placement rack can easily slide on the mounting rack, and the position of the placement rack can be conveniently, rapidly and accurately adjusted according to actual requirements to adapt to placement of live broadcast devices of different sizes or adjustment of live broadcast shooting angles.

1. The name of the design product: new media director machine. 2. The use of the design product: for video production processing. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view 1.

The application discloses a new media product user portrait analysis system and method based on media big data, relates to the technical field of data processing, collects user behavior data and platform operation data related to the same news content in a plurality of media platforms, collects and normalizes user feature data and media platform feature data in the plurality of media platforms, obtains demand vectors between the media platforms and the users, identifies different user features, accumulates the difference degrees of the demand vectors between different media platforms based on the demand vectors of the same user in different media platforms, obtains the demand direction difference degrees of each media platform, collects the demand vectors of the users and the user demand direction difference degrees in all media platforms, performs vector clustering on the vectors in the user feature matrix, obtains the portrait of the group users, and aggregates the feature values based on the portrait of the group users to obtain the portrait of the individual users.