Abstract: Aspects of the disclosure relate to identity management and recommendation. A computing platform may receive a request to access information associated with one or more user accounts. The computing platform may send a biometric authentication prompt for identifying a user. The computing platform may receive biometric input of the user. The computing platform may retrieve one or more biometric enrollment templates from a database. The computing platform may compare the biometric input to the one or more biometric enrollment templates to determine if a match exists between the biometric input and one of the one or more biometric enrollment templates. Responsive to the user being authenticated based upon a match, the computing platform may retrieve and send information associated with the one or more user accounts. The computing platform may generate and send one or more recommendations associated with usage of the one or more user accounts.

Abstract: Disclosed methods and systems perform initial phase operations and one or more iterations of construction phase operations to evaluate a loan regarding a proposed project for a property. The initial phase operations, which determine a value for an initial phase lending metric, include determining a funded-at-close (FAC) amount and a value-at-close (VAC) of the property and calculating the initial phase lending metric based on the FAC and the VAC. If the initial phase lending metric value fails to satisfy an initial phase lending criteria, disclosed methods may terminate. Otherwise, the process may continue to one or more iterations of construction phase operations. Disclosed construction phase operations may use the ARV of the proposed project in the calculation and evaluation of construction phase metrics. Thus, disclosed methods and systems determine an after-repair-value (ARV) for the propose project prior to performing the construction phase operations.

Abstract: Methods and processes can include disbursement and/or management and issuance of guaranteed preapprovals in real-estate transactions reordered as offers to purchase real estate property sold by sellers smart in a distributed digital ledger system. In some embodiments, holders of guaranteed preapproval NFTs may be linked to offers to purchase real also recorded as NFTs. Holders of guaranteed preapproval NFTs may make a plurality of offers to purchase a plurality of real estate properties using natural language commands within a conversation or chat interface associated with a real-estate transaction application.

Abstract: Methods and processes can include negotiation assistance to the borrower in the context of attempting to secure a lending product offered by a lender within a blockchain environment. In some embodiments, the system may receive borrower input within a conversation interface of an application and convert the input to identify borrower information. Further, the system may apply a first machine-learning model to the borrower input to determine at least one borrower objective. Finally, the system may generate a lending product recommendation including an explanation for the lending product determination.

Abstract: The present disclosure relates to systems and methods for generating real-time quotes using machine learning algorithms. The system may include a processor in communication with a client device, and a storage medium storing instructions that, when executed, cause the processor to perform operations including: receiving an image of a vehicle from the client device, extracting one or more features from the image, based on the extracted features and using a machine learning algorithm, identifying one or more attributes of the vehicle, based on the identified attributes of the vehicle, determining a make and a model of the vehicle, obtaining comparison information based at least in part on the determined make and model, estimating a quote for the vehicle based on the comparison information; and transmitting the estimated quote for display on the client device.

Abstract: A node associated with an individual and/or organization receives a storage identifier for new data associated with a consumer and/or business. A node and distributed data sources are used to share the new consumer and/or business data with a network of nodes. The node updates a node with the storage identifier for the new consumer and/or business data. The node receives, from a device associated with the individual and/or organization, a request for the new data. The node obtains the storage identifier for the new data from the node. The node obtains the new data by using the storage identifier to search the distributed data sources. The node provides the new consumer and/or business data to the device. The node performs actions to obtain additional new consumer and/or business data from the distributed data sources or provide the additional new consumer and/or business data to the distributed data sources.

Abstract: The present disclosure relates to a credit loan, and more particularly, to a credit loan control method and a service computing device based on multiple collaterals of multiple third-party collateral providers and a service computing device therefor. More specifically, the present invention relates to a credit loan control method of a service computing device for providing a predetermined loan amount to a borrower computing device as a loan based on multiple collaterals provided from multiple collateral provider computing devices, the method including dividing corresponding collateral among the multiple collaterals into at least one of a specific ratio or a specific amount or less, including the divided collateral divided by the dividing in the loan, and providing the predetermined loan amount based on the included collateral, in which the multiple collaterals are collected or managed by at least one of a collateral manager computing device or the service computing device.

Abstract: Aspects of the disclosure relate to machine learning based automated management of a user account. A computing platform may determine, via a computing device and based on historical user activity of a user, a pattern of the user activity. Subsequently, the computing platform may detect a deviation from the pattern of the user activity. Then, the computing platform may identify an anticipated transaction of the user. Then, the computing platform may retrieve, from a repository of user data, one or more user-defined preference rules associated with the anticipated transaction. Then, the computing platform may determine whether the one or more preference rules apply to one or more attributes of the anticipated transaction. Subsequently, the computing platform may trigger, based on a determination that the one or more preference rules apply to the one or more attributes of the anticipated transaction, an action associated with the anticipated transaction.

Abstract: Systems and methods for market price tracking for crypto assets.

Abstract: A system of cryptocurrency mining comprising at least one cryptocurrency mining machine, a rewards pool for receiving cryptocurrency from the mining machine, and a non-fungible token configured to direct a fractionalized portion of the cryptocurrency in the rewards pool to an owner of the non-fungible token. The invention relates to fractionalizing rewards to non-fungible token holders, such as Bitcoin and other cryptocurrency mining. More broadly, the non-fungible token, methods, and systems disclosed herein can easily be employed by rewards pools and rewards pool managers of all kinds, as would be understood by one of ordinary skill in the art. By fractionalizing hard to apportion devices and systems, the inventions described herein can fine tune the cost of entry to profitable endeavors, proving new opportunities by democratizing ownership.

Abstract: Methods, systems, and computer programs are described for executing an autonomous trade order at a digital exchange. Uncompiled computer code is received at an exchange engine at the digital exchange. The uncompiled computer code defines the autonomous trade order. The uncompiled computer code is compiled and executed by the exchange engine. The executing includes instantiating an instance of the autonomous trade order and filling the autonomous trade order based on a determination that one or more conditions specified in one or more trading instructions included in the autonomous order have been satisfied. The determination is based on a detection that one or more events referenced from the pre-programmed trading instructions have occurred at the electronic digital exchange or an identification that one or more values of one or more variables referenced from the trading instructions have transgressed one or more values of one or more thresholds.

Abstract: Systems and methods described herein for automated cross-border settlement transactions, the system comprising: a trading platform network coupled to a plurality of settlement solution networks; and an autonomous bot configured to execute a plurality of instructions for: executing a scheduler to convert a plurality of user requirements and system requirements into a target schedule; executing a plurality of settlement transactions via the settlement solutions using the trading platform; determining a differential between the executed settlement transactions and the target schedule; and modifying the execution of future settlement transactions if the differential is greater than a predefined threshold.

Abstract: An integrated order management engine is disclosed that reduces the latency associated with managing multiple orders to buy or sell a plurality of financial instruments. Also disclosed is an integrated trading platform that provides low latency communications between various platform components. Such an integrated trading platform may include a trading strategy offload engine.

Abstract: Systems and methods for providing trading using an eVWAP price in an illiquid market are provided. In an illiquid market there may be little or no actual trades. During a trading period, the eVWAP price is therefore determined from not only trades, but also unmatched bids and offers. The eVWAP price is determined when new information becomes available or at a specified time interval. The final eVWAP price is determined when the sampling period ends. Once the final eVWAP price is determined, the value of the final eVWAP price is published for use as a price to settle a contract.

Abstract: Systems and methods for digital tokenization. A method includes issuing a token to a user based on an investment made by the user by recording a first transaction on a decentralized ledger indicating ownership of the token. The decentralized ledger is distributed across nodes among a decentralized network such that at least one portion of code is stored across the nodes, where the portions of code are encoded based on project parameters of an impact project. A third transaction is recorded on the decentralized ledger by generating a transaction specifying progress on the impact project and broadcasting the generated transaction to the decentralized network. A second transaction is recorded on the decentralized ledger via the portions of code based on the project parameters and the third transaction recorded on the decentralized ledger, where the second transaction includes a respective transfer via the token issued to the user.

Abstract: Disclosed are methods and systems for automatically configuring financial product offerings. An example method includes: receiving, by a computer system, a graph model representing a plurality of permutations of definition provisions of a financial product; translating at least a subset of the graph model into definitions of a plurality of business objects; translating the definitions of the plurality of business objects into definitions of a plurality of services to be implemented by an offering of the financial product; receiving, via a user interface, a plurality of service configuration options; applying the plurality of service configuration options to the definitions of the plurality of services; and generating, based on the definitions of the plurality of services, service configuration data for the offering of the financial product.

Abstract: Applying funds is disclosed. A set of interfaces for configuring filtering criteria and receiving user configurations of the filtering criteria is displayed. Fund information pertaining to a fund that is to be applied to one or more receivables under an insurance policy account is received. A set of eligible receivables is identified based on filtering information included in the fund information and a set of preconfigured filtering criteria. A set of ranked receivable partitions to which the fund is applied is established based on a set of preconfigured priority criteria and using the fund information and information associated with the set of eligible receivables. The fund is applied to the ranked receivables partitions according to the rankings.

Abstract: A distracted driving analysis system for identifying distracted driving events is provided. The system includes a processor in communication with a memory device, and the processor is programmed to: (i) receive labeled training data, the labeled training data including driving event records (a) each labeled as an actual distracted driving event or a passenger event and (b) including phone usage by a user that occurred within a time period of a driving event, (ii) identify common features of the actual distracted driving events and the passenger events by processing the training data using a supervised machine learning algorithm, (iii) generate a trained model based at least in part upon the identified common features, (iv) process a new driving event, (v) assign the new driving event based at least in part upon features of the new driving event, and/or (vi) determine whether the new driving event is an actual distracted driving event or a passenger event.

Abstract: A cloud-based insurance underwriting and management platform based on microservice technology which is easily customizable to each insurance provider's specific needs and scalable for any size insurance provider and any number of insureds. In an embodiment, the cloud-based platform comprises an external system interface comprised of application programming interfaces (APIs) through which insurers and insureds can access the features of the platform, a plurality of microservices which provide the features and capabilities of the platform, and one or more databases which store the customer information, policy information, and financial information required for the insurance provider to manage its underwriting and/or policy management.

Abstract: Methods and systems for maintaining a distributed ledger and/or blockchain of transactions and/or events pertaining to autonomous vehicles and/or smart contracts. An enforcement server may receive indications of transactions and/or events generated by one or more autonomous vehicles. The transactions and/or events may include information relating to a trigger condition and/or a decision condition associated with one or more smart contracts. The enforcement server may route the transaction to the appropriate smart contract to determine whether a trigger condition has been satisfied. When a trigger condition is satisfied, the enforcement server may automatically perform an action to enforce the smart contract and/or update the distributed ledger.

Abstract: Systems and methods are disclosed with respect to using a blockchain for managing the subrogation claim process related to a vehicle collision, in particular, utilizing evidence oracles as part of the subrogation process. An exemplary embodiment includes receiving recorded data from one or more connected devices at a geographic location; analyzing the recorded data, wherein analyzing the recorded data includes determining that an collision has occurred involving one or more vehicles; generating a transaction including the data indicative of the collision based upon the analysis; and transmitting the transaction to at least one other participant in the distributed ledger network.

Abstract: Methods and systems for assigning damage to a property to causes of loss are provided. A smart home controller and/or an insurance provider remote processor (or server) may generate a time sequence of events for damage associated with an insure-related event. The time-sequence of events may be analyzed to identify causes of loss associated with damage to the property. The smart home controller or insurance provider remote processor may further analyze the time-sequence of event to determine a portion of the overall damage associated with each cause of loss. Subsequently, according to certain aspects, the smart home controller or insurance provider remote processor may automatically generate a prepopulated insurance claim for damage associated with the insurance-related event, and/or transmit the automatically prepared insurance claim to an insured for their review, approval, and/or modification, such as via wireless communication to a mobile device associated with the insured.

Abstract: A blockchain-based social insurance (“BBSI”) computer system for creating a social insurance group is provided. The BBSI computer system includes at least one processor in communication with at least one memory device. The processor is programmed to receive social insurance group data and define at least one qualifying rule for joining the social insurance group. Each member of the social insurance group must satisfy the at least one qualifying rule to become a member of the social insurance group. The processor is programmed to generate at least one social insurance group blockchain including the qualifying rule and cause to be displayed on a user device the social insurance group data for review by a candidate member. The processor is also programmed to receive a registration message from the candidate member including a request to become a member of the group.

Abstract: Systems and methods provide for an automated system for analyzing damage to process claims and pre-claim consultations associated with an insured item, such as a vehicle. An enhanced claims processing server may analyze damage associated with the insured item using photos/video transmitted to the server from a user device (e.g., a mobile device). The mobile device may receive feedback from the server regarding the acceptability of submitted photos/video, and if the server determines that any of the submitted photos/video is unacceptable, the mobile device may capture additional photos/video until all of the data are deemed acceptable. In addition, the server may interface with third party entities such as repair shops and may generate a payment for compensating a claimant for repair of the insured item.

Abstract: A clearing instruction after accounting is completed is automatically sent. An order management apparatus includes: an order entry unit configured to transmit, when order data including dish data and serving destination data is input, the order data to a kitchen apparatus; an order data storage unit configured to store the order data; a serving control unit configured to generate, when cooking of the dish is completed, serving instruction data including serving destination data of the dish and transmit the serving instruction data to a serving robot; an accounting unit configured to perform accounting based on the order data; and a clearing control unit configured to generate clearing instruction data including the serving destination data of the serving destination for which the accounting has been completed and transmitting the clearing instruction data to the serving robot.

Abstract: Certain aspects of the present disclosure provide techniques and systems for automatically detecting, tracking, and processing certain information content, based on voice input from a user. A voice enabled content tracking system receives natural language content corresponding to audio input from a user. A determination is made as to whether the natural language content includes a first type of information, based on evaluating the natural language content with a first machine learning model. In response to determining the natural language content comprises the first type of information, a temporal association of the first type of information is determined, based on evaluating the natural language content with a second machine learning model, and a message including an indication of the temporal association of the first type of information is transmitted to the user.

Abstract: A method for detecting and exposing user communication preferences within a communication application includes accessing a user profile datastore to retrieve an inferred communication preference from each of a plurality of user profiles. The method further includes storing, within each of a plurality of contact cards of a communication application, the inferred communication preference downloaded from a corresponding one of the plurality of user profiles in the user profile datastore; detecting, via a user interface of the communication application, a user interaction with a user interface element associated with a select one of the contact cards; and responsive to detecting the user interaction, presenting, on the user interface of the communication application, the inferred communication preference stored within in the select one of the contact cards.

Abstract: An example virtual signing even can include to establish a first video connection with the celebrity; establish a second video connection with a customer; connect the first video connection to the second video connection to facilitate a virtual face-to-face interaction between the celebrity and the customer; confirm signing of at least one item by the celebrity during the virtual face-to-face interaction; and facilitate shipping of the at least one item to the customer.

Abstract: A farming machine is configured to identify and treat plants in a field. The farming machine includes one or more light sensors for measuring a characteristic of light. The one or more light sensors are coupled to the farming machine and are directed a substantially upwards orientation away from the plants. A control system adjusts settings of an image acquisition system based on a characteristic of light measured by the one or more light sensors. The image acquisition system captures an image of a plant using one or more image sensors coupled to the farming machine, the one or more image sensors directed in a substantially downwards orientation towards the plants. The control system identifies a plant in the image and actuates a treatment mechanism to treat the identified plant.

Abstract: The present disclosure provides a method for power consumption analysis and troubleshooting of a production line based on an Industrial Internet of Things, system, and storage medium thereof.

Abstract: A system for menu and dish presentation in a dish ordering environment comprises a front end module including a user interface to be presented on a user computing device and a back end module in data communication with a plurality of data sources and receiving therefrom menu data inputs. The back end module comprises a dynamic menu presentation module to dynamically generate a menu presentation, a dynamic dish configuration scheme module configured to receive user input data regarding a selection of a dish or a built of a dish by the user, from a menu presented in accordance with the menu presentation and to dynamically generate a dish configuration presentation to be presented on the user interface of the front end module.

Abstract: The tourism support device includes a reception unit that receives a selection of an area by a user and a destination in the area, a display unit that displays an icon for receiving a selection of a purpose including a map of the area and a movement unit, a control unit that performs control to superimpose a marker on the map at a position where the purpose can be achieved in accordance with the selected purpose, and a presentation unit that presents the movement unit and the tourist spot recommended in the area in accordance with the destination when the purpose related to the movement unit is selected.

Abstract: Systems and methods are described for generating and/or displaying an overall home score for a property. The method may include: retrieving one or more attributes of a property; determining one or more home score factors from the attributes; generating an overall home score; generating a neighborhood score; and displaying the overall home score, the neighborhood score and/or a map.

Abstract: Methods and processes can include disbursement and/or management and issuance of guaranteed preapprovals in real-estate transactions reordered as offers to purchase real estate property sold by sellers smart in a distributed digital ledger system. In some embodiments, holders of guaranteed preapproval NFTs may be linked to offers to purchase real-estate may offer these NFTs to other lenders under more favorable terms.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for data extraction and analysis from diarized legal transcripts. The system obtains a transcript of a legal interaction, identifies its format, and selectively identifies and extracts testimony and non-testimony data therefrom. The system stores subsets of testimony and non-testimony data for analysis, submits data to an analysis module or engine, then exports the resulting analysis data which is associated with one or more parts of the transcript, such as by page and line number. Testimony and testimony analysis data may then be displayed visually or temporally using a user interface and subsets of the testimony data across multiple transcripts may be selectively displayed or exported via reports.

Abstract: Methods, systems, and computer readable media for using machine learning models to determine predicted values of patent documents. In some examples, a method includes training, by at least one processor, a machine learning model to predict patent value based on unstructured text from training patents and, for each training patent, a measure of patent value. The method includes supplying, by the at least one processor, unstructured text from a patent document to the machine learning model. The method includes outputting, by the at least one processor, a predicted measure of value of the patent document.

Abstract: A carbon dioxide (CO2) emission tracking system operating on a client information handling system may comprise a processor, a network interface device, and a display to display a graphical user interface (GUI) to gather analytics for an executing software application hardware power consumption analytics, and a location for the client information handling system, the processor to receive from a Unified Endpoint Management (UEM) platform a distributed power CO2 emissions value estimating CO2 emission per Watt of power consumed at the location, determine a power CO2 emissions value estimating CO2 emitted during a measured consumption of power, based on the hardware power consumption analytics, determine an application CO2 emissions value estimating CO2 emitted by the software application during consumption of hardware resources contributing to the power CO2 emissions value, and display the power CO2 emissions value to provide a carbon footprint for computing activities of the client information handling system.

Abstract: A system for detecting suboptimal performance of security check operations. The system may include a sensor operable to output sensor data indicative of physical characteristics of a security check environment, an output device, and a processing device comprising a processor and a memory. The security check environment may include at least one of a prohibited object detector, a human patron, an object carried by the human patron, and a human security officer. The processing device may be operable to: determine, based on the sensor data, that security check operations at the security check environment are being performed in a suboptimal manner; and in response to determining that the security check operations are being performed in a suboptimal manner, output alarm data to the output device to cause the output device to output an alarm signal indicative of the suboptimal manner in which the security check operations are being performed.

Abstract: This specification relates to a system for and method of handling electronic markers and extensions of credit for use at a gaming establishment, such as a casino. The electronic marker can be redeemed using cash or cash equivalents, casino valued currency (such as casino chips), or by electronic transfer of funds. Extensions of credit can be provided to a patron at a gaining table in real-time through communications with a mobile device. Such extensions of credit can be a courtesy extended to high level, fast betting casino patrons, for example. At the end of the gameplay, the total amount of funds extended (less any repayment by the patron at the table) can be converted to casino marker.

Abstract: The present invention provides a lottery drawing method for multiple NFT prizes and the NFT lottery system thereof. The NFT system comprising an ID generator, a comparing processor, and a notifying processor. The ID generator can randomly generate a first wallet ID, a first blockchain ID, a second wallet ID and a second blockchain ID. The comparing processor can compare the second wallet ID and the second blockchain ID with the first wallet ID and the first blockchain ID, to see if there is a win. The notifying processor can inform the user whether there is a win and what NFT prize is won. By using this lottery drawing method and the system, the user can quickly and simply carry out the NFT-based lottery game.

Abstract: A digital image system includes a tool for enabling inspection of digital images through security marks. The system (300) generally includes a digital image source (310), a digital image publishing platform (320), and a user device (330). The source (310) includes storage (312) for storing digital images and a processor (316) for accessing images from the storage (312) and processing the image using a image processing module (314). The platform (300) includes an image database (322) and a processor (326). The processor (326) can access images from the database (322) and process the images using an inspection tool (324) to provide processed images that can be accessed by a user (330). The user device (330) includes a display (332) for displaying digital images accessed via the platform (320) as well as composite images generated by an inspection tool (336) including an inspection window free from security marks.

Abstract: According to examples, an apparatus may include a processor and a memory on which are stored machine-readable instructions that when executed by the processor, may cause the processor to extract text from a document. The processor may retrieve images associated with characters in the extracted text and generate a stitched image using the retrieved images. The processor may watermark the stitched image and replace the characters in the document with the images associated with the characters from the watermarked and stitched image.

Abstract: Aspects presented herein relate to methods and devices for graphics processing including an apparatus, e.g., a GPU or a CPU. The apparatus may obtain visibility information for a set of primitives in at least one frame associated with the graphics processing, where the at least one frame includes a plurality of bins, such that at least one bin of the plurality of bins includes at least one primitive of the set of primitives. The apparatus may also configure a density map based on the visibility information for the set of primitives, where the density map includes density data associated with an amount of the set of primitives in each of the plurality of bins. Further, the apparatus may map the density data for each of the plurality of bins to a shading rate for each of the plurality of bins.

Abstract: Systems, apparatuses, and methods may provide for technology to process multi-resolution images by identifying pixels at a boundary between pixels of different resolutions, and selectively smoothing the identified pixels.

Abstract: When performing tile-based rendering in a graphics processing system, lists indicative of fragments to be processed are maintained for respective sub-regions of tiles to be rendered, with each list entry including, inter alia, at least an indication of the coverage within the tile sub-region of the group of fragments that the list entry represents, and an indication of whether the group of fragments that the list entry represents is eligible to undergo particular processing operations. The coverage information and eligibility information for the list entries is then used to control the processing of fragments for sub-regions of a tile, in such a way as to ensure that processing order dependencies are enforced and met.

Abstract: In tile-based graphics processing systems, a tiling unit determines which tiles of a rendering space a primitive is in, such that the primitives in a tile can be rendered. Rather than performing tiling calculations for each tile in a bounding box for a primitive, tiling tests can be performed for a subset of the tiles. Then the results of the tiling tests for the subset of tiles can be used to determine whether the primitive is in other tiles which are located within a region bounded by two or more of the tiles of the subset. In this way the tiling process can be implemented without performing tiling calculations for all of the tiles in the bounding box for a primitive. Reducing the number of tiling calculations can help to improve the efficiency of the graphics processing system (in terms of speed and power consumption) for rendering a primitive.

Abstract: A disclosed method includes employing a hybrid context sensing protocol to learn power and video capabilities of a platform to perform seamless graphics remediations, providing a video management module to handle video policies and thermal attributes for seamless recovery of video capabilities across firmware updates/rollbacks, and implementing a hybrid video firmware (HVF) to create a virtual video domain to partially or fully utilize video capabilities based on platform power budgeting policies. The method may further include maintaining a silicon agnostic protected sync of a map between the video random access memory (VRAM)and GPU memory to ensure seamless High Bandwidth Digital Content Protect (HDCP) capability rendering on targeted video devices. The method further comprises using a system on chip (SoC)-agnostic runtime VRAM for uninterrupted graphics rendering across integrated graphics processing unit (iGPU) to discrete GPU (dGPU) transitions or switches.

Abstract: An exemplary image processing system first writes normal line information and color information into the G buffer and depth information into the depth buffer for a first object. Next, at a time of writing the normal line information into the G buffer for a second object, the exemplary image processing system calculates a difference between the depth information of a first object and the depth information of the second object, and blends the normal line information of the first object with the normal line information of the second object based on the difference, and writes the blended normal line information into the G buffer. The exemplary image processing system then renders an image in a frame buffer based on information stored in the G buffer and light source information.

Abstract: The present invention relates to an image processing apparatus and an image processing method capable of reducing the capacity of a memory. Provided is an image processing apparatus including a memory that stores image data, and a control unit that controls write processing of writing the image data in the memory and read processing of reading the image data stored in the memory, in which the control unit frees a memory area where the image data is stored but is not read before the read processing is completed. For example, the present disclosure can be applied to an image processing apparatus that performs image stabilization processing or the like.

Abstract: Described herein is a computer implemented method including: accessing an input video; generating a first output frame corresponding to a first input frame by: generating a noise-added frame by processing the first input frame to add noise to any low-frequency regions; and processing the noise-added frame in accordance with a stylization algorithm to generate the first output frame; generating a second output frame corresponding to a second input frame, where the second input frame is subsequent to the first input frame and is generated by: calculating first optical flow data describing an optical flow between the first and second input frame; generating a first noise-preserved frame by using the first optical flow data to deform the noise-added frame; and processing the first noise-preserved frame in accordance with the stylization algorithm to generate the second output frame; and encoding the first and second output frame into output video data.