75 results about "Content production" patented technology

The invention relates to a digital human live broadcast method and system. The method comprises the following steps: acquiring a live broadcast room visual effect picture and a digital human live broadcast audio; generating digital human live broadcast content under the driving of the digital human live broadcast audio by taking the visual effect picture of the live broadcast room as a visual manuscript through an I2V model; in the process of playing the digital human live broadcast content, if the current interaction behavior of the user in the live broadcast room is monitored, generating digital human interaction content responding to the current interaction behavior; selecting an insertion frame from the key frames of the digital human live broadcast content so as to insert the digital human interaction content at the position of the insertion frame; the key frame is a video frame corresponding to a statement demarcation point in the digital human live broadcast content. According to the scheme provided by the invention, the contradiction between long content production period, high implementation cost and slow real-time interaction feedback in digital human live broadcast in related technologies can be solved.

The invention discloses a text-to-action generation method and system based on body part fine-grained representation, and belongs to the field of human body action generation. Body part-level fine-grained discretization modeling is performed on human body actions to obtain an action encoder and an action decoder which can stably reconstruct a continuous action sequence; the method comprises the following steps: taking a part fine-grained discrete action space as a producible space, introducing video potential representation as space-time dynamic priori, establishing an alignment modeling mechanism of the video potential representation and the action discrete space, and training to obtain a conditional generation network, so as to realize stable prediction and iterative completion of an action discrete index sequence in a reasoning stage; and a continuous human body action sequence is reconstructed through an action decoder, and finally a human body action sequence which is consistent with text semantics, richer in details and more coherent in time sequence is generated. According to the method, the technical threshold and data dependence of action content production can be reduced, and the controllability and generalization ability of action generation are improved.

The invention relates to the technical field of digital people, in particular to an intelligent digital people system based on multi-modal deep learning and automatic content generation, which comprises a front-end interaction module, a rear-end processing module, a multi-modal data management module, an AI synthesis engine and a distributed storage module. The system realizes full-process intelligent operation from model training to content publishing through dynamic voiceprint extraction, audio-driven video generation and multi-modal data fusion. According to the method, the defects in personalized training, automatic content generation and multi-user cooperation management in the prior art can be overcome, the naturalness, flexibility and user experience of voice synthesis and video driving are remarkably improved, and an efficient and intelligent solution is provided for digital human content production.

The present invention relates to a brand marketing content management system and a marketing method using the same, which connects advertisers who want to advertise in an internet environment with creators who freely produce content in an internet environment, thereby enabling advertisers to conduct effective advertising and creators to produce desired content and receive sponsorship. The system is characterized by comprising: a customer management unit that receives content production requests from advertisers; a request matching unit that matches creators among previously recruited creators to the category of the content production request and delivers the content production request to the creator; a content evaluation unit that evaluates the advertising content produced by the creator based on established evaluation criteria; and a settlement unit that delivers sponsorship funds corresponding to the evaluation results of the advertising content to the creator.

1. Name of the product in this design: Graphical User Interface for Teaching Activities in Electronic Equipment. 2. Purpose of this design: An electronic device. 3. The key design features of this product are its graphical user interface. 4. The image or photograph that best illustrates the design's key features: the front view. 5. Purpose of the graphical user interface: Used as intelligent learning educational software. 6. Human-computer interaction method of graphical user interface: The main view is the main interface of Zhixue Education Software. Clicking the "I want to prepare lessons" module will take you to the main interface of lesson preparation, as shown in Figure 1, where you can create courseware. Click on the special feature "Classroom Activities" to enter the interface change state diagram 2. The page displays 6 activity question types, and the activity theme is displayed on the card below each question type. After selecting any card from "Unlimited Categories", click the OK button below to enter the interface change state diagram 3, where you can create the content for the category options. You can click the help button below for instructions on filling in the information. Once you have finished filling in the information, click the "Complete" button below to enter the interface change state shown in Figure 4. Click the "Subject Tools" icon to bring up a drop-down menu. Select the "Geography" icon to see three geography tools, as shown in Figure 5. Select all tools to enter the interface change state shown in Figure 6, where you can continue to operate the buttons on the relevant pages.

The invention relates to the technical field of man-machine interaction, and discloses a multi-modal AI and emotional intention recognition three-dimensional content real-time generation method, which integrates a multi-modal AI collaborative generation module, a dynamic emotional intention recognition module, a three-dimensional content real-time generation module and a holographic software and hardware collaborative module, the method comprises the following steps: realizing an immersive holographic interaction and multi-modal AI collaborative generation module, constructing a unified semantic space by adopting CLIP + VATT, analyzing an instruction by adopting LLM to generate parameters, generating 2D content by adopting Diffusion, converting NeRF into a textured 3D model in real time, and realizing sketch / semantic driven parameterization generation by combining ControlNet and LoRA. According to the scheme of the invention, the breakthrough efficiency can be improved, and the AI driven automatic generation technology is realized; a traditional 3D content production process which needs to be completed in several days can be compressed to be completed in several minutes by means of collaborative optimization of models such as Point-E, NeRF and Diffusion and combining ControlNet structured control and LoRA low-rank fine tuning, and the modeling efficiency is integrally improved.

The invention provides a panoramic image generation method and device based on voice driving and electronic equipment, and the method comprises the steps: converting a voice instruction inputted by a user into text description information, and generating visual description information, corresponding to three different regions, of the text description information through employing a natural language model which is finely adjusted in advance; based on a preset diffusion model, converting the first visual description information corresponding to the middle area into a first image with a preset size; based on a preset diffusion model, the first image and the second visual description information corresponding to the left side area and the right side area respectively, generating second images of preset sizes corresponding to the left side area and the right side area respectively; and splicing and fusing the first image and the two second images, and converting the spliced and fused image into an equirectangular panoramic image for the VR head-mounted display device to render and display. According to the invention, a complete link from voice intention to roaming panorama is opened, and the VR content production efficiency and the immersion of a user in browsing the VR content are improved.

The present application relates to the technical field of network communication congestion control, in particular to an end-network cooperative ubiquitous network congestion control method. The method is applied to a ubiquitous network comprising end nodes, intermediate nodes and content production nodes. The end nodes generate and send interest packets. The intermediate nodes obtain queue usage state, pending interest table occupation state, available bandwidth state and interest packet satisfaction state when the data packets return, generate a first congestion score or a second congestion score, and generate a congestion marking probability in combination with the occupation contribution of the target interest flow in the pending interest table to mark the return data packets with congestion. The intermediate nodes perform interest flow splitting or rate shaping according to the congestion level, and the end nodes adjust the subsequent interest packet sending window according to the congestion score information and the congestion marking result. The present application is suitable for high dynamic and multi-path ubiquitous network congestion control.

The application relates to the technical field of digital film content production, distribution and screening, and discloses a high dynamic range content distribution display method and a video processing device. A standard dynamic range master is used as the only main asset, physical baseline information is generated, candidate residual information is extracted, semantic gating decision is performed, auxiliary data containing the physical baseline information and selectively containing conditional gain information is output, and a high dynamic range signal is reconstructed according to the corresponding mode selected according to the auxiliary data, so that the single master is adapted to different display capability screening terminals, and the problems of high cost and poor consistency of the existing multi-version distribution mode are solved. Meanwhile, the semantic gating mechanism is used to eliminate the AI illusion risk, the adaptive auxiliary data structure is used to reduce the transmission bandwidth, and the distribution efficiency, screening safety and content verifiability are considered.

The invention relates to a short video automatic generation method and system based on semantic understanding, and belongs to the technical field of intelligent content generation. The method comprises the following steps: acquiring multi-modal source data input by a user, and extracting a structured semantic feature vector; obtaining a dynamic semantic hypergraph through conflict detection and dynamic expansion of associated nodes; executing a Markov decision process on the dynamic semantic hypergraph to generate a platform instruction set; generating a video element sequence by applying a combination principle, presetting a conflict element pair, and outputting an enhanced video template; scheduling a layered material library according to the enhanced video template; and performing collaborative rendering on the layered material data flow through a heterogeneous computing architecture, and outputting a final generated video. And generating a quality feedback signal based on the behavior data of the user for the finally generated video, and dynamically updating the semantic deconstruction model and the association node of the dynamic semantic hypergraph. According to the invention, high automation and intelligence of short video content production are realized.

Regarding a stereoscopic image content production apparatus for a hologram device and a method for driving the apparatus, the stereoscopic image content production apparatus for a hologram device of an embodiment may include a communication interface unit that communicates with a user terminal device owned by a purchaser of a hologram device that embodies hologram content, and a control unit that provides web or app services to enable the user terminal device to create, edit, or render hologram content, and that predicts demand for products and content for the hologram device based on user experience data from the use of the hologram device and hologram content, and provides custom-made products and content.

Disclosed are systems and methods of a novel framework that automatically and dynamically detects security events at a location and generates curated media content based therefrom. The disclosed framework can curate, modify and / or create animated media files from the captured security footage. Animating the captured content from security cameras can offer a creative and effective way to address privacy concerns while still providing valuable security insights that are based on, but not limited to, dynamic visualization, privacy protection, analytical efficiency, legal and ethical compliance, resource management and the like. By integrating animated content into security systems, organizations can maintain effective surveillance and monitoring capabilities while addressing privacy concerns and protecting individual identities.

The invention discloses a melody perception music reorganization method and system based on structure-texture feature decoupling. The method comprises the steps of constructing a weak pairing data set containing the same melody skeleton and different acoustic texture audio pairs, training a comparison melody encoder based on the data set to extract pure melody structure characterization, then training a double-circulation-flux recompilation generation model, and finally completing recompilation generation of a target audio. The system comprises a data set construction module, an encoder training module, a generative model training module and a reasoning generation module, and the core of the system comprises a contrast melody encoder and a double-circulation-flux modification generative model. According to the method, the problems of feature entanglement and text control failure are solved, the melody consistency and the model generalization ability are improved, and the method can be widely applied to the fields of digital music creation, short video content production, old audio reproduction and the like.

The present application relates to the field of digital technology of tourism and travel, and discloses a tourism and culture content generation method and device based on a large language model, wherein the device comprises a tourism and culture knowledge graph global construction and dynamic updating module, a scene demand semantic analysis and generation constraint standardization definition module, a culture narrative chain intelligent construction and core content original generation module, a multi-form content adaptation and immersive expression optimization module, a tourism and culture content culture authenticity verification and compliance verification module, and a content effect quantitative evaluation and generation model iterative optimization module; the method comprises the following steps: S1, a tourism and culture knowledge graph construction stage; S2, a demand analysis and constraint definition stage; S3, a narrative chain construction and core content generation stage; S4, a content form adaptation and immersive optimization stage; S5, a content verification and compliance verification stage; and S6, an effect evaluation and model iteration stage; the present application breaks through the problem that traditional tourism and culture content production relies on artificial creation and content homogenization is serious.

Herein is proposed a method for providing information regarding content production, comprising: performing preprocessing on a script file; separating and grouping the contents of the preprocessed script file; classifying sentences which meet predetermined condition into one or more categories; storing information related to the grouping of the preprocessed script file or information on the classification of sentences into one or more categories; processing the stored information in response to requests related to the stored information; and displaying the processed information.

The invention provides a big data-based convergence media content production auxiliary method and device. The method comprises the steps that a server side crawls public text information from a plurality of information public platforms; processing the public text information by using a text classification model to obtain a theme tag corresponding to the public text information; sending the public text information to a client corresponding to the theme tag; receiving the converged media content, extracting target text information, target video information and target audio information in the converged media content, and determining the content matching degree between the converged media content and each alternative publishing platform according to the target text information, the target video information and the target audio information; and sending the platform publishing suggestion containing the content matching degree to the client. By extracting the multi-modal information, evaluating the content matching degree between the converged media content and each alternative publishing platform and feeding back the platform publishing suggestions to the client, a creator can be helped to select a proper publishing platform, so that the suitability of the content and the platform is improved.

Features described herein generally relate to content production. Particularly, the present disclosure relates to facilitating video generation. Using machine-learning models, a storyboard can be generated from an inspirational video, video attributes can be determined for the storyboard, editing scores and actions can be determined for candidate videos, candidate videos can be edited based on the editing scores and actions, and the edited candidate videos can be combined to generate a video.

The invention relates to the field of intelligent doorplate management, and particularly discloses an intelligent doorplate dynamic management system and method based on an LORA technology, which are characterized in that external heterogeneous source data such as OA, educational administration and the like are grabbed, cleaned and packaged in a standardized manner at a front end through protocol adaptation and data engine technologies, and information islands are broken to realize automatic content production; the transmission layer reconstructs network data into high-penetrability LORA radio-frequency signals for wide-area broadcasting by utilizing a cloud compiling and gateway protocol conversion mechanism; and the terminal side adopts a periodic wake-up strategy based on a CAD mechanism, and drives the electronic ink screen to refresh and immediately and automatically cut off the power supply only after the verification of the effective signaling is passed. Therefore, real-time synchronization of the physical identification and the digital service is realized without manual intervention through full-link data closed-loop circulation, and meanwhile, extremely-low-power-consumption long-term operation of the system is ensured by utilizing a bistable display characteristic.

The invention discloses a medical science popularization image-text generation method based on a large model, and belongs to the field of generative artificial intelligence. The method comprises the following steps: specifying a text description for generating a medical science popularization copywriting, and firstly analyzing, extracting and generating a required text instruction set and a picture instruction set; inputting the text instruction set into the natural language large model to generate related text contents, and orderly splicing the generated text contents to form a complete and coherent text part of the medical science popularization copywriting; meanwhile, the picture instruction set is input into the text graph large model, and a plurality of medical science popularization illustrations matched with the copywriting content are generated; performing content filling according to a preset medical science popularization copywriting typesetting template, and finally forming a complete medical science popularization copywriting finished product with image-text combination and clear structure. According to the method, full-process automation of medical science popularization content production is realized, the generation efficiency and professional accuracy are remarkably improved, and the readability and attraction of the content are enhanced in an image-text combination mode.

The embodiment of the invention discloses a content generation method and device, equipment and a storage medium. According to the main technical scheme, the method comprises the steps of displaying an interaction page, wherein the interaction page comprises a dialogue area and an editing area; in response to article information of a target article input in the dialogue area, triggering a display request instruction for the target article, and displaying at least one image material in the dialogue area, the image material comprising a display carrier and an image of the target article, the display carrier comprising a main body carrier and / or a scene carrier; in response to a selection operation on a target image material in the at least one image material, displaying the target image material in the editing area; and in response to a content generation trigger instruction detected in the editing area, obtaining media content corresponding to the target article based on the target image material. The creation threshold can be obviously reduced, and the content production efficiency is improved.

An acoustic computation method according to one embodiment of the present disclosure comprises: an acquisition step in which a computer acquires, during video content production, an information item regarding a video device that displays a background video, an information item regarding a space in which the video device is installed and which is subjected to an acoustic simulation, and an information item regarding a sound reception point and a sound emission point in said space; an analysis step in which the computer executes the acoustic simulation in said space on the basis of the acquired information items; and a display control step in which the computer visualizes the result of the acoustic simulation to display the result on a user interface.

The image relating to this design application is used in the field of producing broadcast programs for television broadcasting and video content for internet distribution, etc., for operations such as cutting out multiple images from high-resolution video (input video) such as 4K or 8K. Users can create broadcast programs and video content by arbitrarily switching between these cut-out images (output images). Specifically, in the reference image diagram, a person in the input video displayed in the area indicated by leader line 1 is automatically recognized (the rectangular symbol indicated by leader line 2 indicates that the person has been automatically recognized), and the portraits of the recognized people are listed as thumbnails in the area indicated by leader line 3a (the portraits in the thumbnails are generated by cutting out the input video in real time and are represented as video. The same applies hereinafter). In the area indicated by leader line 3b, any combination of the recognized people is similarly displayed as thumbnails. These thumbnails displayed in the area of ​​leader line 3 become candidates for the output video. The user selects the video to be cut out and output from the input video by appropriately selecting from these candidates. The area indicated by leader line 4 displays the output video selected through this operation, and in the image diagram (and each reference diagram) of this application, three video streams are cut out as output videos. The area indicated by leader line 5 is an area that displays a magnified view of one of the multiple output videos that has been particularly selected. The field of view of the cut-out and output video is automatically adjusted using AI technology, etc. In the display area of ​​the input video (leader line 1), the rectangular frames numbered 1 to 3 represent the automatically adjusted field of view for the three output videos currently selected by the user.

The invention discloses a media generation recommendation system based on hot spot information, relates to the technical field of content generation, and solves the technical problems of insufficient accuracy of hot spot recognition and insufficient suitability of audience positioning. According to the method, invalid data elimination, abnormal value filtering, normalization processing and full-link optimization of the aging attenuation factor are innovatively introduced through the popularity scoring model, compared with an existing evaluation mode of only counting the surface interaction amount, the method can effectively filter amount brushing data and extreme value interference, and the hotspot score is dynamically adjusted through the aging factor, so that the evaluation efficiency is improved. According to the method, false hotspots, potential hotspots and core hotspots are accurately distinguished, decline-period hotspots or false hotspots are prevented from being included in a content production range, the accuracy and timeliness of hotspot identification are improved, three-stage screening logic of core tag hierarchical matching, attribute tag enhanced matching and audience tag accurate matching is designed, the suitability of audiences with hotspots and contents is improved, and the accuracy and timeliness of hotspot identification are improved. And precise positioning of thousands of people and thousands of surfaces is realized.

A method of content production may include receiving tracking information for a camera with a frustum configured to capture images of a subject in an immersive environment. a first image of a virtual environment corresponding to the frustum may be rendered using a first rendering process based on the tracking information to be perspective-correct when displayed on the displays and viewed through the camera. A second image of the virtual environment may also be rendered using a second rendering process for a specific display. The first image and the second image may be rendered in parallel. The second image and a portion of the first image may be composited together to generate a composite image, where the portion of the first image may correspond to a portion of the display captured by the frustum.

The application discloses a kind of based on dialogue context and personal experience emotional speech synthesis method and system, method includes obtaining text to be synthesized and corresponding multi-dimensional emotional enhancement condition set, condition set includes personal experience description and dialogue context description, can also include at least one of paralanguage description and open vocabulary emotional label;The text to be synthesized and condition set are input into semantic generation module to obtain semantic representation sequence, generate target emotional speech by acoustic reconstruction and voice code processing.The condition set can be obtained by automatic annotation, role knowledge base, historical script, long dialogue summary, reference speech analysis or artificial configuration etc.;System includes condition acquisition and construction, semantic generation, acoustic reconstruction and voice code module.The application can realize the joint driving of dialogue context and personal experience emotional speech synthesis, improve the emotional naturalness, emotional accuracy and character consistency of synthesized speech, suitable for digital person, voice content production, intelligent interaction etc.

The invention provides a training course generation method and device. The training course generation method comprises the steps of obtaining course generation prompt information; the course generation prompt information is input to a course generation model, a to-be-trained course output by the course generation model is obtained, the to-be-trained course is generated according to course structure description information, the course structure description information is generated according to action structure information, and the action structure information is generated according to at least one data type; the data type is determined according to the course generation prompt information. According to the method, the to-be-trained courses suitable for learning and training of the user can be automatically output, the course generation model can adapt to different types of multi-modal input of the user, the limitation on user input is reduced, the input content cost can be reduced, high-quality courses are automatically produced, and the user experience is improved. The method can be used in multiple fields of artificial intelligence private teaching, personalized training schemes, automatic content production and the like.

This disclosure relates to information processing systems, methods, and procedures that enable the provision of more valuable user experiences. In this disclosure, a driving simulation system uses a vehicle selected by the user to perform a driving simulation and acquires driving data corresponding to the user's actions on the vehicle and in-simulator images of the vehicle driving in virtual space. A camera system uses a camera to capture images of the vehicle and the user to obtain captured images. A video creation system creates a video configured using at least the in-simulator images and the captured images. For example, this technology can be applied to a content creation system that uses an actual vehicle to perform a driving simulation to create content.

The embodiment of the invention provides an information processing method and device, a readable storage medium and a program product. The method comprises the steps that a first interface is displayed; in response to meeting the first condition, displaying associated content of the first video content in the first interface; wherein the associated content comprises at least one of first associated content and second associated content; the first associated content is generated based on one or more of the following items: production process data of first video content, first video content association degree derived literature content and interaction data for the first video content; the second associated content is generated according to the first video content production starting information.

Provide a system. 【Solution means】 Means for obtaining patent information, Means for using a generation model for summarizing and analyzing the patent information, Means for exploring the applicability of technology in different fields based on the analyzed information, Means for generating new business ideas based on the exploration results, Means for visualizing the new business ideas and providing them to the user, Means for modifying ideas based on feedback from the user, Means for proposing a specific business plan to the user, Means for providing new content ideas through an online platform and using them to support content creation in the application field, A system including the above.