Abstract: Aspects and implementations provide for mechanisms of detection of fields in electronic documents and determination of values of the detected field. The disclosed techniques include obtaining an input into a machine learning model (MLM), the input including a first image of a field extracted from a document and depicting one or more static elements of the field and a field value, the input and further including a second image of the field. The input may be processed using the MLM to identify one or more static regions that correspond to static elements of the field. The identified static regions may be used to modify the first image in which the static regions are removed or have a reduced visibility. The modified image may be used to determine the field value.

Abstract: Described are systems and methods for generating personalized videos with customized text messages. An example method includes receiving an input text, a video template including a sequence of frame images, and at least one parameter for animation of the input text across the sequence of frame images, generating, based on the input text and the at least one parameter for animation, a configuration file including a text style for the input text for a frame in the sequence of frame images, and rendering, based on the configuration file, an output frame of an output video, where the output frame includes the frame in the sequence of frame images and a layer, and where the layer includes the input text stylized based on the text style. The method further includes providing an option enabling a user to change the at least one parameter for animation.

Abstract: A method of detecting fields in document images includes: receiving a codebook comprising a set of visual words, each visual word corresponding to a center of a cluster of local descriptors; calculating, based on a set of user labeled document images, for each visual word of the codebook, a respective frequency distribution of a field position of a specified labeled field with respect to the visual word; loading a document image for extraction of target fields; calculating a statistical predicate of a possible position of a target field in the document image based on the frequency distributions; and detecting, using the trained model, fields in the document image based on the calculated statistical predicate.

Abstract: Systems and methods for providing personalized videos are provided. An example method includes receiving preprocessed videos including a target face and facial expression parameters of the target face, modifying the preprocessed videos to generate one or more personalized videos by replacing the target face with a source face, where the source face is modified to adopt the facial expression parameters of the target face, providing a user interface enabling a user to share at least one personalized video of the one or more personalized videos with a further user of a further computing device, determining that an application to be used to share the personalized video does not allow auto-play of the personalized video in a video format, in response the determination, exporting the personalized video of the one or more personalized videos into an image file, and sharing the image file via the application.

Abstract: Described are systems and methods for generating personalized videos with customized text messages. An example method commences with receiving an input text and a video template. The video template includes a sequence of frame images and text parameters defining an animation of the input text for the sequence of frame images. The method continues with rendering an output video. The output video includes the sequence of frame images featuring the input text rendered according to the text parameters. The method further includes providing a user with an option to change at least one text parameter of the text parameters. The method continues with dynamically changing, by the at least one computing resource, the input text according to the at least one text parameter. The method further includes providing, by the at least one computing resource, the output video to at least one further computing resource via a communication chat.

Abstract: Disclosed are systems and methods for personalized videos. An example method include receiving, by a computing device, preprocessed videos including a target face, providing, by the computing device, a first user interface enabling a user to generate an image of a source face, modifying, by the computing device, the preprocessed videos to generate one or more personalized videos by replacing the target face with the source face, the source face being modified to adopting a facial expression of the target face, and providing, by the computing device, a second user interface to select the one or more personalized videos.

Abstract: Disclosed are systems and methods for customizing soundtracks and hairstyles in modifiable videos of multimedia messaging application. An example method includes determining, by a computing device, that a user has provided an instruction to select automatically, based on parameters of a modifiable video, a selfie image for insertion into the modifiable video, where the selfie image is selected from a set of pre-generated selfie images associated with hairstyles, in response to the determination, selecting, by the computing device and based on the parameters of the modifiable video, the selfie image from the set of pre-generated selfie images, and generating, by the computing device and based on the selfie image of the user and the modifiable video, a personalized video of the user, where the personalized video includes at least a part of the selfie image and at least a part of the modifiable video.

Abstract: Provided are systems and methods for providing personalized videos featuring multiple persons. An example method includes enabling a communication chat between a user of a computing device and at least one further user of at least one further computing device, receiving a user selection of a video from one or more personalized videos, receiving an image of a source face and a further image of a further source face, modifying the image of the source face to generate an image of a modified source face, modifying the further image of the further source face to generate an image of a modified further source face, replacing, in the video, a target face with the image of the modified source face and at least one further target face with the modified further source face to generate a personalized video, and sending the personalized video to the at least one further user.

Abstract: Provided are systems and methods for personalized videos featuring multiple persons. An example method includes receiving a user selection of a video having at least one frame with metadata that include a first location and a second location and receiving an image of a source face and a further image of a further source face, modifying the image of the source face to generate an image of a modified source face and modifying the further image of the further source face to generate an image of a modified further source face, inserting, in the at least one frame of the video, the image of the modified source face at the first location and the image of the modified further source face at the second location to generate a personalized video, and sending the personalized video via a communication chat.

Abstract: Disclosed are systems and methods for customizing soundtracks and hairstyles in modifiable videos of multimedia messaging application. An example method includes determining, by a computing device, that a user has provided an instruction to select automatically, based on parameters of a modifiable video, a selfie image for insertion into the modifiable video, where the selfie image is selected from a set of pre-generated selfie images associated with hairstyles, in response to the determination, selecting, by the computing device and based on the parameters of the modifiable video, the selfie image from the set of pre-generated selfie images, and generating, by the computing device and based on the selfie image of the user and the modifiable video, a personalized video of the user, where the personalized video includes at least a part of the selfie image and at least a part of the modifiable video.

Abstract: Disclosed are systems and methods for personalized videos. An example method include receiving, by a computing device, preprocessed videos including a target face, providing, by the computing device, a first user interface enabling a user to generate an image of a source face, modifying, by the computing device, the preprocessed videos to generate one or more personalized videos by replacing the target face with the source face, the source face being modified to adopting a facial expression of the target face, and providing, by the computing device, a second user interface to select the one or more personalized videos.

Abstract: A system for customizing soundtracks and hairstyles in modifiable videos is provided. In one example embodiment, the system includes a memory storing processor-executable codes and a processor configured to receive a modifiable video and a user image including a facial image and a hair image; analyze the facial image and the hair image to determine at least one hair property, determine whether the hair image is modifiable, and determine modifications to the at least one hair property; modify the at least one hair property to generate a modified hair image; generate a further image including the modified hair image and the facial image; and generate, based on the further image and the modifiable video, a personalized video that includes at least a part of the further image and at least a part of the modifiable video.

Abstract: Disclosed are systems and methods for providing personalized videos. An example method includes storing one or more preprocessed videos. The one or more preprocessed videos may include at least one frame with at least a target face. The method may continue with receiving an image of a source face, for example, by receiving a user selection of a further image and segmenting the further image into portions including the source face and a background. The method may then proceed with modifying the one or more preprocessed videos to generate one or more personalized videos. The modification may include modifying the image of the source face to generate an image of a modified source face. The modified source face may adopt a facial expression of the target face. The modification may further include replacing the at least one target face with the image of the modified source face.

Abstract: Described are systems and methods for generating personalized videos with customized text messages. An example method commences with receiving an input text and a video template. The video template includes a sequence of frame images and text parameters defining an animation of the input text for the sequence of frame images. The method continues with rendering an output video. The output video includes the sequence of frame images featuring the input text rendered according to the text parameters. The method further includes providing a user with an option to change at least one text parameter of the text parameters. The method continues with dynamically changing, by the at least one computing resource, the input text according to the at least one text parameter. The method further includes providing, by the at least one computing resource, the output video to at least one further computing resource via a communication chat.

Abstract: Described are systems and methods for generating personalized videos with customized text messages. An example method may commence with receiving a video template. The video template may include a sequence of frame images and preset text parameters defining an animation of a text. The method may continue with generating a configuration file based on the text and the preset text parameters. The configuration file may include text parameters defining rendering the text for each of the frame images. The method may further include receiving an input text and rendering an output video comprising the sequence of frame images featuring the input text rendered according to the text parameters. The rendering may be performed based on the configuration file. The method may continue with sending the output video to a further computing device via a communication chat.

Abstract: Provided are systems and methods for personalized videos featuring multiple persons. An example method includes receiving a user selection of a video having at least one frame with metadata that include a first location and a second location and receiving an image of a source face and a further image of a further source face, modifying the image of the source face to generate an image of a modified source face and modifying the further image of the further source face to generate an image of a modified further source face, inserting, in the at least one frame of the video, the image of the modified source face at the first location and the image of the modified further source face at the second location to generate a personalized video, and sending the personalized video via a communication chat.

Abstract: A system for customizing soundtracks and hairstyles in modifiable videos is provided. In one example embodiment, the system includes a memory storing processor-executable codes and a processor configured to receive a modifiable video and a user image including a facial image and a hair image; analyze the facial image and the hair image to determine at least one hair property, determine whether the hair image is modifiable, and determine modifications to the at least one hair property; modify the at least one hair property to generate a modified hair image; generate a further image including the modified hair image and the facial image; and generate, based on the further image and the modifiable video, a personalized video that includes at least a part of the further image and at least a part of the modifiable video.

Abstract: Disclosed are systems and methods for providing personalized videos featuring multiple persons. An example method includes receiving a user selection of a video having at least one frame with at least a target face and at least one further target face and receiving an image of a source face and a further image of a further source face. The method further includes modifying the image of the source face to generate an image of a modified source face and modifying the further image of the further source face to generate an image of a modified further source face. In the at least one frame of the video, the target face is replaced with the image of modified source face and the at least one further face is replaced with the modified further source face to generate a personalized video. The personalized video is sent to at least one further user.

Abstract: A system for customizing soundtracks and hairstyles in modifiable videos of a multimedia messaging application (MMA) is provided. In one example embodiment, the system includes a processor and a memory storing processor-executable codes, wherein the processor is configured to receive, via the MMA, a modifiable video and an image of a user including an image of a face and an image of hair; determine that the image of hair is modifiable; modify the image of hair and generate a further image including the modified image of hair and the image of the face; generate, based on the further image and the modifiable video, a personalized video, wherein the personalized video includes a part of the further image of the user and a part of the modifiable video, and add a soundtrack to the personalized video based on predetermined criteria.

Abstract: Described are systems and methods for generating personalized videos with customized text messages. An example method may commence with receiving a video template. The video template may include a sequence of frame images and preset text parameters defining an animation of a text. The method may continue with generating a configuration file based on the text and the preset text parameters. The configuration file may include text parameters defining rendering the text for each of the frame images. The method may further include receiving an input text and rendering an output video comprising the sequence of frame images featuring the input text rendered according to the text parameters. The rendering may be performed based on the configuration file. The method may continue with sending the output video to a further computing device via a communication chat.