Abstract: A system and method for performing brand detection in a video is disclosed herein. The method comprises receiving the video for performing the brand detection thereon; splitting the video for obtaining a plurality of video frames; performing an open set detection on each input video frame from the plurality of video frames, which comprises proposing one or more bounding boxes on the input video frames on regions of the video frame that potentially include brand media; cropping the one or more bounding boxes; providing the cropped bounding boxes to a classification module for obtaining embedding vectors corresponding to each of the cropped bounding boxes; and comparing the embedding vectors of the cropped bounding boxes with embedding vectors of one or more brand reference images provided by a user for computing instances of brand detection in each video frame of the plurality of video frames.

Abstract: Systems and methods for automatically enhancing the quality of images in the training set of a neural network NN. A method includes gaining access to a training set including a plurality of images. Using at least one image quality assessment method, at least one image is identified from a plurality of images in the training set, which matches a low-quality criterion as at least one low-quality image. At least one image enhancement method is used for enhancing the at least one low-quality image to obtain at least one enhanced image. The at least one low-quality image is replaced with the corresponding at least one enhanced image in the training set.

Abstract: System and method for administration of remote user activities interacting with critical data are used to detect violations of user activities, generate hints in response to each violation or a group of violations, that includes video-based violations, audio-based violation, and display-control-based violations, and to display hints to the administrator in a prioritized manner helping the administrator to react to most critical violations in a proper way. The invention solves a problem of simultaneous monitoring of multiple user interactions with critical data by ranking each violation, each session of interaction and each user.

Abstract: A system and a method for performing brand detection and brand analysis in a video are disclosed herein. The method comprises receiving the video for performing the brand detection thereon; splitting the video for obtaining input video frames; performing an open set detection on the input video frames to compute instances of detecting brand media; determining an exact square region in which the brand media is occupied within the input video frame; resolving a scene understanding task in the input video frame; detecting crucial moments in the video; identifying an area on the input frame where a user's attention is focused to provide user focus index; generating heat maps using the detection of crucial moments and user focus index; and combining above inputs from the brand detection and the scene understanding into the heat maps for all the input video frames of the video for computing a brand advertising rate.

Abstract: Systems and methods for generating video highlights with a certain label and a specific duration (SD) using a trained ranking neural network (RankNet). The system obtains a request for highlight generation, specific duration, and a specific label. The video is split into a set of fragments of pre-defined duration forming a sequence. Digital representation in a form of 3D spatio-temporal embedding is generated for each fragment by a spatio-temporal encoder. Using the embedding value, a rank of each fragment is identified by a trained Ranking Neural Network. Ranks are recorded into a data structure. A minimum number of fragments are selected to cover the SD using a criteria comprising comparing ranks of different fragments. A video highlight is generated from concatenated selected fragments with a truncation, if necessary.

Abstract: The present disclosure relates to an avatar generator to generate an audio-visual avatar specific to an application, such as tutoring. The avatar generator includes a general synthesizer to receive a training dataset. The general synthesizer includes a voice synthesis module and a video synthesis module trained by the training dataset. The avatar generator includes a customized synthesizer consisting of a voice custom synthesis module and a video custom synthesis module trained on the audio-video samples of the target person. The avatar generator further includes a video generator to create an audio-visual avatar and is configured to synthesize a voice clone using an input text, process the voice clone, synthesize a video clone based on the video synthesis module and the video custom synthesis module, and apply the voice clone to the video clone.

Abstract: Disclosed herein are systems and methods for detecting a presence of a person in front of a display with a camera based on a reflection detection. In one aspect, an exemplary method includes obtaining, using a camera, a video stream of a user in front of the display. The method also includes changing a brightness and color characteristics of an object. The method further includes obtaining changes in a brightness and a color temperature of at least one surface on a face of the user from the video stream. The method further includes based on a determination that the obtained changes in brightness and color temperature of surfaces on the face of the user do not correspond to the brightness and color temperature of the object within the brightness threshold and the color temperature threshold, determining that the user is not in front of the display.

Abstract: The present invention provides a system and method for applying Siamese Neural Networks (“SNNs”) to model, characterize, and predict the effects of defects on material properties, specifically for 2-dimensional (“2D”) crystals such as transition metal dichalcogenides (“TMDCs”). The present invention provides a method for predicting physical properties with strong performance across both low and high-defect density scenarios.

Abstract: A system determines whether a first operation performed by an MLM is compatible with a specific encryption scheme, wherein the MLM is distributed over at least one client device and at least one server. In response to determining that the first operation is compatible with the specific encryption scheme, the system encrypts data associated with the first operation using the specific encryption scheme, and transmits the encrypted data to the at least one server configured to apply the first operation. In response to determining that the first operation is incompatible with the specific encryption scheme, the system performs the first operation on the data using the at least one client device without encrypting using the specific encryption scheme.

Abstract: A system and method for regulating a motorsport racing event are disclosed. The system comprises sensor modules for sensing a plurality of race parameters to generate a plurality of input signals. A data analysis module receives the input signals for analysis. A decision-making module receives the analyzed signal and computes a recommendation or a decision corresponding to the level of violation. A penalty and recommendation module receives information associated with the recommendation or the decision and presents the recommendation or the decision.

Abstract: The present disclosure relates to a system to evaluate an avatar generated by an avatar generator. The system comprises an evaluation module including an audio evaluation module for evaluating audio features and a video evaluation module for evaluating video features. Evaluation of the avatar includes extracting audio and video features from the avatar and applying a set of evaluation metrics for generating audio and video evaluation scores. The scores are combined to generate a final score. For avatar generator evaluation, audio clip and video clip are provided to the audio evaluation module and video evaluation module, respectively. A set of evaluation metrics is applied for evaluation. Each metric can generate a score. All scores are combined to generate a final evaluation score.

Abstract: Systems and methods for automatic generation of highlights of video. The system includes a video processor to select one type of the video to be analyzed and split video clips from the video. The video processor recognizes positive clips, negative clips, and auxiliary clips. A spatio-temporal encoder is configured to select, from the recognized clips, a main positive clip, a main negative clip, and auxiliary positive and negative clips, and generate a three-dimensional (3D) embedding vector of each clip. The selected clips are processed by a ranking network having a self-attention layer. The self-attention layer, using a query head, a key head and the value head produces self-attention resultant vector on which an activation function is performed. A rank value is thus obtained for the selected clip. Based on the rank value, video highlights are generated.

Abstract: Systems and methods for conducting a synchronized student-lecturer session on an e-learning server in a computer network. The method includes obtaining a lesson material template from the lecturer computing system; logging a lecturer and one or more students in the e-learning application by verifying respective credentials to access the lesson material template, presenting the lesson material template on a session screen of the e-learning application corresponding to the lecturer and the one or more student users; generating a lecturer session; generating a student session log; tracking the lecturer session log, wherein the lecturer activity as recorded in the lecturer session log is monitored by one or more student users, and tracking the student session log, wherein the student activity as recorded in the student session log is monitored by the lecturer user.

Abstract: A system and method for optimizing the performance of an autonomous race car in real-time during a race event are disclosed. An autonomous race car controller unit is pre-fed with a first set of initial parameter values and a second set of initial parameter values. A set of sensors is configured for measuring a first and a second set of real-time parameter values after the starting of the race event. A performance optimization module is configured to generate a corrective course by receiving the first and second sets of real-time parameters and detecting the presence of errors between a control command given by the controller unit and its execution.

Abstract: A multi-layer path-planning system and method calculates trajectories for autonomous vehicles using a global planner, a fast local planner, and an optimizing local planner. The calculated trajectories are used to guide the autonomous vehicle along a bounded path between a starting point and a destination.