Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide an image processing framework that sub-divides computer vision techniques into three computationally efficient steps: detection, classification and matching. These steps provide an improved image processing framework that can analyze live stream data of a media file, in real-time, in order to identify and track specific digital objects depicted therein. This enables not only image processing detection results, but also the capabilities of augmenting the video stream with additional data related to the detected object.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically creating a caption comprising a sequence of words in connection with digital content.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically creating a caption comprising a sequence of words in connection with digital content.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content hosting and/or providing systems supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data within or across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatically creating a caption comprising a sequence of words in connection with digital content.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide an image processing framework that sub-divides computer vision techniques into three computationally efficient steps: detection, classification and matching. These steps provide an improved image processing framework that can analyze live stream data of a media file, in real-time, in order to identify and track specific digital objects depicted therein. This enables not only image processing detection results, but also the capabilities of augmenting the video stream with additional data related to the detected object.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide an image processing framework that sub-divides computer vision techniques into three computationally efficient steps: detection, classification and matching. These steps provide an improved image processing framework that can analyze live stream data of a media file, in real-time, in order to identify and track specific digital objects depicted therein. This enables not only image processing detection results, but also the capabilities of augmenting the video stream with additional data related to the detected object.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel machine-in-the-loop, image-to-video bootstrapping framework that harnesses a training set built upon an image dataset and a video dataset in order to efficiently produce an accurate training set to be applied to frames of videos. The disclosed systems and methods reduce the amount of time required to build the training dataset, and also provide mechanisms to apply the training dataset to any type of content and for any type of recognition task.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide an image processing framework that sub-divides computer vision techniques into three computationally efficient steps: detection, classification and matching. These steps provide an improved image processing framework that can analyze live stream data of a media file, in real-time, in order to identify and track specific digital objects depicted therein. This enables not only image processing detection results, but also the capabilities of augmenting the video stream with additional data related to the detected object.

Abstract: Disclosed are systems and methods for improving interactions with and between computers in content searching, hosting and/or providing systems supported by or configured with devices, servers and/or platforms. The disclosed systems and methods provide a novel machine-in-the-loop, image-to-video bootstrapping framework that harnesses a training set built upon an image dataset and a video dataset in order to efficiently produce an accurate training set to be applied to frames of videos. The disclosed systems and methods reduce the amount of time required to build the training dataset, and also provide mechanisms to apply the training dataset to any type of content and for any type of recognition task.

Abstract: A method for detecting missing tooth in mining shovel, implemented using a processing device, includes receiving a pair of image frames from a camera disposed on a rope mine shovel configured to carry a mining load. A tooth line region corresponding to the pair of image frames is detected to generate a pair of tooth line regions based on a shovel template set. A difference image is determined based on the pair of image frames and the pair of tooth line regions. Further, a response map representative of possible tooth positions is determined based on the difference image using a tooth template matching technique. A tooth line is selected among a plurality of candidate tooth lines based on the response map. Further, a tooth condition is determined based on the tooth line and the difference image. The tooth condition is notified to an operator of the rope mine shovel.

Abstract: A method for detecting missing tooth in mining shovel, implemented using a processing device, includes receiving a pair of image frames from a camera disposed on a rope mine shovel configured to carry a mining load. A tooth line region corresponding to the pair of image frames is detected to generate a pair of tooth line regions based on a shovel template set. A difference image is determined based on the pair of image frames and the pair of tooth line regions. Further, a response map representative of possible tooth positions is determined based on the difference image using a tooth template matching technique. A tooth line is selected among a plurality of candidate tooth lines based on the response map. Further, a tooth condition is determined based on the tooth line and the difference image. The tooth condition is notified to an operator of the rope mine shovel.