175 results about "New media" patented technology

The invention relates to an intelligent error correction method and system based on a deep thinking dialogue large model, and the method comprises the steps: receiving a to-be-detected text, guiding a large language model to execute a content correction and verification task for the to-be-detected text through employing a pre-constructed multi-modular prompt instruction, and generating a preliminary processing result containing structured error information and correction suggestions; based on context information of a to-be-detected text, error positioning in the primary processing result is accurately calibrated, verification is carried out through three verification mechanisms of semantic verification, knowledge graph verification and historical verification, and a final processing result is generated and stored in a data storage unit; the final processing result is analyzed in real time in a data stream transmission mode, an analysis result is displayed on a user interface, and a corresponding position in the to-be-detected text is synchronously displayed in a highlight mode. According to the method, errors can be accurately positioned, model illusion is reduced, the correctness of terms and factual contents is ensured, and an efficient and reliable solution is provided for new media content auditing.

The invention discloses a new media operation content recommendation system based on big data, and relates to the technical field of new media operation, cross-platform short-time behaviors are collected in real time through edge calculation, multi-platform user interest characteristics are dynamically fused in combination with federal learning, the limitation of single platform data is broken through, and instant interest transfer of users is accurately captured; cross-platform behavior breakpoints are filled by using bidirectional LSTM and an attention mechanism, and prediction weights are dynamically adjusted according to equipment types, so that the response speed of sudden interests is remarkably improved; a multi-platform content resource pool is opened through a semantic association index and a hotspot adjustment matrix, and semantic-level matching and real-time scheduling of cross-platform content are achieved; in addition, multi-platform collaboration is completed through the privacy compliance unit on the premise of guaranteeing data security, and legal risks are avoided.

The invention relates to a new media AI marketing content creation method and device, equipment and a medium. The method comprises the steps of obtaining user demand configuration, and obtaining a creation intention vector through natural language analysis; based on the platform characteristic knowledge base, extracting a corresponding structure specification and a propagation mechanism according to the target platform, and encoding to obtain a platform characteristic vector; obtaining historical content interaction data corresponding to the audience group, and generating a user-content interaction vector by adopting collaborative filtering and a label similarity algorithm in combination with the content keyword; and calling an artificial intelligence large model, and performing content generation according to the creation intention vector, the platform feature vector and the user-content interaction vector to obtain content creation data. By adopting the method, the goal of automatic, high-quality and personalized new media marketing content creation in a multi-platform environment can be realized by means of natural language analysis, knowledge structure extraction, large model generation constraint and the like.

The invention discloses a new media content creation and distribution platform, and the platform comprises a user portrait construction module which is used for collecting user behavior data and generating a multi-dimensional interest label; the multi-modal content generation module supports automatic generation and editing of texts, images, audios and videos; an advanced algorithm is integrated through a multi-modal content generation module, intelligent collaborative production of texts, images, audios and videos is achieved, creation efficiency is improved, title variant generation and style imitation are supported, and the manual creative bottleneck is broken through; the intelligent distribution engine adopts reinforcement learning to dynamically optimize weight distribution and combines a platform feature analyzer and an A / B test unit to improve cross-platform distribution accuracy and traffic conversion rate; the block chain evidence storage and cross-platform crawler system constructs a full-link copyright protection network, so that content fingerprints can be quickly chained, infringement contents can be automatically released, and the right protection efficiency is improved; and the virtual digital human driving module and the multi-mode conversion unit extend the content adaptability, so that the immersion of the user is enhanced.

The invention discloses a new media promotion method and system based on the Internet, and belongs to the technical field of new media promotion, and the method specifically comprises the steps that the distribution density and the stop position of people in a waiting area are monitored in real time, load distribution data in a lift car are collected, and the vibration frequency and the start-stop state in the elevator running process are recorded; when it is detected that the density of people in the waiting area exceeds a set threshold value, switching to duration compressed advertisement content, and when the load distribution of the lift car displays that one side is crowded, displaying interactive advertisements in the free area; capturing a user eyeball movement track, calculating an advertisement interface fixation thermodynamic diagram, identifying a user gesture operation by using a millimeter wave radar, mapping a specific gesture into an advertisement content switching instruction, and generating a personalized advertisement recommendation scheme; and the advertisement interaction data is converted into a pushing strategy adjustment basis of adjacent elevators, a propagation path is established according to the flow rule of people in the elevator room, and when the advertisement click rate of a certain elevator exceeds a set value, a content recommendation signal is sent to the associated elevator.

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 relates to the technical field of artificial intelligence-driven digital marketing, in particular to an AI-based new media intelligent marketing method, which comprises the following steps of: 1, carrying out cross-platform user behavior fusion modeling; 2, constructing a multi-modal content gene pool: analyzing a visual focus area and a text emotional tendency of historical content, and generating a content gene vector; 3, dynamic content generation and real-time optimization, wherein initial marketing content is generated according to the space-time behavior matrix retrieval gene bank; user interaction behaviors are monitored in real time, elements in a visual focus area are dynamically replaced, and the emotion intensity of the copywriting is adjusted; and step 4, closed-loop strategy optimization: a dynamic effect index is calculated by fusing multi-platform indexes, a gene variation mechanism is triggered when the index continuously decreases, and cross-platform compensation content is generated based on failed user behaviors. By analyzing the cross-platform behavior and the content preference of the user, the user demand can be accurately predicted, and the content more conforming to the personalized preference of the user is provided.

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 relates to a new media image processing method and system based on an AI large model. The method comprises the following steps: acquiring an original target image and a user interaction instruction; extracting processing demand features and output demand features based on the user interaction instruction; analyzing the original target image and the processing demand features through a first AI large model, and generating a grading processing strategy; performing hierarchical image processing on the original target image based on a hierarchical processing strategy through a second AI large model to obtain an initial processing image; processing the initial processing image based on the output demand feature and generating an output target image; according to the new media image processing method based on cooperative work of the double AI large models, through cooperative cooperation of the two AI large models, whole-process optimization from user intention understanding to high-quality output is achieved, and the effect of enhancing the processing result generalization ability is achieved.

The invention discloses an image abnormal tampering automatic detection method based on deep learning, a storage medium and equipment, and the method comprises the four steps: digital watermark embedding, image similarity measurement, detection model establishment and abnormal tampering detection. A digital watermark is embedded into a key frame by fusing semi-fragile watermark characteristics on the basis of a least significant bit replacement (LSB) method, so that the sensitivity of an image to tiny changes is improved; in the image similarity measurement, all-directional judgment on abnormal tampering is realized through measurement index screening; in establishment of the detection model, a basis of an abnormal tampering automatic detection deep learning model is constructed; and finally, in abnormal tampering detection, training is carried out in combination with a plurality of similarity measurement indexes and a convolutional neural network (CNN), and automatic detection of abnormal tampering is realized. The method realizes rapid and accurate abnormal tampering identification, can be used in various new media video types such as short videos and the like, and provides a solution for authenticity supervision of various video pictures.

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.

The invention discloses a data processing method, device and equipment and a readable storage medium, and the method comprises the steps: generating interest weight data of an object for each media domain type based on the interaction operation of the object for media data under at least two media domain types in a target time period in log data of the object; performing interest matching in the candidate media data set based on the interest weight data to obtain a media push list for the object; if the key interaction operation of the object is detected, performing normalization processing on interest weight data corresponding to the at least two media domain types to obtain weight proportions corresponding to the at least two media domain types; and adjusting the weight ratio based on the key interaction operation, and updating the media push list according to the adjusted weight ratio. By adopting the method and the device, the media push list can be updated in real time, the matching degree of the media push list and the film watching interest of the object is improved, and the flow consumption of the object is reduced.

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 present disclosure provides systems and methods for transforming media assets using data retrieved from external sources. A system can identify a request to update one or more media assets maintained in a database of a media asset system. The system can retrieve, from a remote data system identified in the request, data corresponding to object metadata of each media asset of the one or more media assets. The system can generate, for each media asset of the one or more media assets, an updated media asset to include the data retrieved from the remote data system. The system can modify the object metadata of each of the one or more media assets based on the data. The system can update, responsive to the request, the database with each updated media asset. The updated media assets can be transmitted to client devices for display in information resources.

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 invention relates to the technical field of data transmission, in particular to a new media data transmission management method and system. The method comprises the following steps that a real-time media data stream is obtained, the real-time media data stream comprises a video frame sequence and a metadata packet set associated with the video frame sequence, and the metadata packet set comprises space coordinate data, timestamp data and operation type identification; performing motion trail feature extraction on the video frame sequence to generate a video trail feature vector, and performing space-time parameter analysis on the metadata packet set to generate a metadata space-time parameter set; and inputting the video track feature vector and the metadata space-time parameter set into a preset synchronous anomaly detection model to calculate a space offset and a time deviation value. According to the method, the stability and the intelligent level of new media data transmission management are improved through image delay dynamic judgment and introduction of a cross-layer cooperative compensation mechanism.

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 provides a multi-camera intelligent switching method and equipment for new media live broadcast, and relates to the technical field of computers. Processing a current live broadcast video stream of the first target live broadcast equipment under the condition that the live broadcast interaction data is detected to meet a switching detection condition, and obtaining a scene dynamic score of the live broadcast video stream; the first target live broadcast equipment is equipment which is currently in a plug flow state in each set of machine position equipment; obtaining a fatigue attenuation value and a network transmission quality score of each machine position device; inputting the scene dynamic score, the live broadcast interaction data, the fatigue attenuation value of each machine position device and the network transmission quality score into a decision model to obtain a priority score of each machine position device; and switching the stream pushing device from the first target live broadcast device to a second target live broadcast device, wherein the second target device is the device with the highest priority score in the machine position devices. The camera position switching can be accurately and effectively realized, and the requirements of complex and changeable live broadcast scenes are met.

1. The name of the design product: fluorescent plate advertising screen. 2. The use of the design product: for new media advertising, exhibition display. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: change state perspective view 1.

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.