Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating realistic extensions of images. In one aspect, a method comprises providing an input that comprises a provided image to a generative neural network having a plurality of generative neural network parameters. The generative neural network processes the input in accordance with trained values of the plurality of generative neural network parameters to generate an extended image. The extended image has (i) more rows, more columns, or both than the provided image, and (ii) is predicted to be a realistic extension of the provided image. The generative neural network is trained using an adversarial loss objective function.

Abstract: A resin slurry for a fractured-vuggy formation and the preparation and use thereof, which belong to the field of drilling fluid lost circulation control. The resin slurry plugging system is composed of the following raw materials in mass percentage: 20%-40% of composite resin plugging agent, 0.5%-5.0% of consolidating agent, 0.5%-5.0% of flow pattern regulator, 0.3%-1.2% of cross-linking agent, 0.3%-1.2% of retarder, 3%-12% of filling agent, and the balance of water. The plugging system has a certain fluidity under low-temperature conditions, is easy to be injected into the formation, and can fill a lose channel of a fractured-vuggy reservoir. The consolidating time of the plugging system is controllable, and the construction conditions are safe. The plugging system forms a three-dimensional cross-linked network structure consolidation after cross-linking and consolidating under high-temperature conditions of the formation.

Abstract: A jujube harvesting apparatus with adjustable suction vector includes: an air duct assembly, where one end of which is arranged with an air duct inlet; a wind power device arranged on one end of the air duct assembly deviating from the air duct inlet and connected to the air duct assembly, where the wind power device is used for generating wind power; an ionization device arranged on the air duct assembly and positioned between the air duct inlet and the wind power device, where the ionization device is used for ionizing air in the air duct assembly to generate plasma; a magnetic field generating device including a first strip-shaped permanent magnet and a second strip-shaped permanent magnet; and a suction vector adjustable device including two moving assemblies, two rotating assemblies, an electromagnetic sensor component, and a control module.

Abstract: Systems and methods of automatically extracting summaries of video content are described herein. A data processing system can access, from a video database, a first video content element including a first plurality of frame. The data processing system can select an intervallic subset of the first plurality of frames of the first video content element. The data processing system can calculate, for each of a plurality of further subsets comprising a predetermined number of frames from the intervallic subset, a score for the further subset. The data processing system can identify, from the plurality of further subsets, a further subset having a highest score. The data processing system can select a portion of the first video content element comprising the frames of the further subset having the highest score. The data processing system can generate a second video content element comprising the selected portion of the first video content element.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for generating realistic extensions of images. In one aspect, a method comprises providing an input that comprises a provided image to a generative neural network having a plurality of generative neural network parameters. The generative neural network processes the input in accordance with trained values of the plurality of generative neural network parameters to generate an extended image. The extended image has (i) more rows, more columns, or both than the provided image, and (ii) is predicted to be a realistic extension of the provided image. The generative neural network is trained using an adversarial loss objective function.

Abstract: The disclosure provides a multi-object tracking algorithm based on an object detection and feature extraction combination model, including the following steps: S1, adding an object appearance feature extraction network layer behind a prediction feature layer of an object detection tracking network having an FPN structure; S2, calculating object fused loss of the object detection tracking network having the FPN structure and added with the object appearance feature extraction network layer; S3, forming a feature comparison database utilizing a neural network during multi-frame objection detection and tracking process; and S4, comparing current image object appearance features with features in the feature comparison database, drawing an object trajectory if the objects are uniform; else adding the current image object appearance features into the feature comparison database to form a new feature comparison database, and then repeating steps S2 and S3.

Abstract: A device including one or more processors configured to, based on at least one of an external criterion or a signal-based criterion, output a first gain adjusted signal from a first gain adjuster or a second gain adjusted signal from a second gain adjuster as an input to an audio processing operation. The first gain adjusted signal corresponds to a first gain applied to an audio signal from a microphone and the second gain adjusted signal corresponding to a second gain applied to an audio signal from a microphone. The signal-based criterion is based on whether a first signal metric associated with the first gain adjusted signal or a second signal metric associated with the second gain adjusted signal is closer to a target metric.

Abstract: A device including one or more processors configured to, based on at least one of an external criterion or a signal-based criterion, output a first gain adjusted signal from a first gain adjuster or a second gain adjusted signal from a second gain adjuster as an input to an audio processing operation. The first gain adjusted signal corresponds to a first gain applied to an audio signal from a microphone and the second gain adjusted signal corresponding to a second gain applied to an audio signal from a microphone. The signal-based criterion is based on whether a first signal metric associated with the first gain adjusted signal or a second signal metric associated with the second gain adjusted signal is closer to a target metric.

Abstract: Systems and methods of automatically extracting summaries of video content are described herein. A data processing system can access, from a video database, a first video content element including a first plurality of frame. The data processing system can select an intervallic subset of the first plurality of frames of the first video content element. The data processing system can calculate, for each of a plurality of further subsets comprising a predetermined number of frames from the intervallic subset, a score for the further subset. The data processing system can identify, from the plurality of further subsets, a further subset having a highest score. The data processing system can select a portion of the first video content element comprising the frames of the further subset having the highest score. The data processing system can generate a second video content element comprising the selected portion of the first video content element.

Abstract: Systems and methods of automatically extracting summaries of video content are described herein. A data processing system can access, from a video database, a first video content element including a first plurality of frame. The data processing system can select an intervallic subset of the first plurality of frames of the first video content element. The data processing system can calculate, for each of a plurality of further subsets comprising a predetermined number of frames from the intervallic subset, a score for the further subset. The data processing system can identify, from the plurality of further subsets, a further subset having a highest score. The data processing system can select a portion of the first video content element comprising the frames of the further subset having the highest score. The data processing system can generate a second video content element comprising the selected portion of the first video content element.

Abstract: Systems and methods of automatically extracting summaries of video content are described herein. A data processing system can access, from a video database, a first video content element including a first plurality of frame. The data processing system can select an intervallic subset of the first plurality of frames of the first video content element. The data processing system can calculate, for each of a plurality of further subsets comprising a predetermined number of frames from the intervallic subset, a score for the further subset. The data processing system can identify, from the plurality of further subsets, a further subset having a highest score. The data processing system can select a portion of the first video content element comprising the frames of the further subset having the highest score. The data processing system can generate a second video content element comprising the selected portion of the first video content element.

Abstract: Methods and apparatus to reduce compression artifacts in images are disclosed herein. An example method includes separating at least a portion of an image into a first component and a second component, reducing a first artifact in the first component to form a first cleaned component, reducing, using the first cleaned component, a second artifact in the second component to form a second cleaned component, and combining the first cleaned component and the second cleaned component to form a cleaned image.

Abstract: Methods, systems, and apparatus, include computer programs encoded on a computer-readable storage medium, for determining keywords for an image that supports an overlay content item. A method includes identifying, using one or more processors, an image that is to support an overlay content item, the image being presented on a web site and including a portion that is designated as being enabled to receive and display the overlay content item; evaluating pixel data associated with the image including determining one or more labels that are associated with content included within the image; and determining one or more keywords for the image based at least in part on the one or more labels.

Abstract: Methods, systems and apparatus for choosing image labels. In one aspect, a method includes receiving data specifying a first image, receiving text labels for the first image, receiving search results in response to a web search performed using at least some of the text labels as queries, ranking the text labels, at least in part, based on a number of resources referenced by the received search results, wherein at least some of the resources each include an image matching the first image, and selecting an image label for the image from the ranked text labels, the image label being selected based on the ranking.

Abstract: Methods, systems, and apparatus, include computer programs encoded on a computer-readable storage medium, for determining keywords for an image that supports an overlay content item. A method includes identifying, using one or more processors, an image that is to support an overlay content item, the image being presented on a web site and including a portion that is designated as being enabled to receive and display the overlay content item; evaluating pixel data associated with the image including determining one or more labels that are associated with content included within the image; and determining one or more keywords for the image based at least in part on the one or more labels.

Abstract: Methods, systems, and apparatus, include computer programs encoded on a computer-readable storage medium, for determining keywords for an image that supports an overlay content item. A method includes identifying, using one or more processors, an image that is to support an overlay content item, the image being presented on a web site and including a portion that is designated as being enabled to receive and display the overlay content item; evaluating pixel data associated with the image including determining one or more labels that are associated with content included within the image; and determining one or more keywords for the image based at least in part on the one or more labels.

Abstract: Methods, systems and apparatus for choosing image labels. In one aspect, a method includes receiving data specifying a first image, receiving text labels for the first image, receiving search results in response to a web search performed using at least some of the text labels as queries, ranking the text labels, at least in part, based on a number of resources referenced by the received search results, wherein at least some of the resources each include an image matching the first image, and selecting an image label for the image from the ranked text labels, the image label being selected based on the ranking.

Abstract: Methods, systems and apparatus for choosing image labels. In one aspect, a method includes receiving data specifying a first image, receiving text labels for the first image, receiving search results in response to a web search performed using at least some of the text labels as queries, ranking the text labels, at least in part, based on a number of resources referenced by the received search results, wherein at least some of the resources each include an image matching the first image, and selecting an image label for the image from the ranked text labels, the image label being selected based on the ranking.

Abstract: Methods, systems and apparatus for choosing image labels. In one aspect, a method includes receiving data specifying a first image, receiving text labels for the first image, receiving search results in response to a web search performed using at least some of the text labels as queries, ranking the text labels, at least in part, based on a number of resources referenced by the received search results, wherein at least some of the resources each include an image matching the first image, and selecting an image label for the image from the ranked text labels, the image label being selected based on the ranking.

Abstract: Methods, systems, and apparatus, including computer program products, for ranking images are disclosed. An image search subsystem generates an adjustment factor representative of a quality measure of an image relative to a search query. The quality represents a relevance of the image to the query. The adjustment factor can be computed based on relevance data for the image to the query and image similarity data representing a relative similarity between the image and other images relevant to the query. The relevance data can be based on user actions in response to the image being included in search results for the query. The adjustment factor can be scaled based on whether the relevance data and the image similarity data both indicate that the image is relevant to the search query. A relevance score is computed based on the adjustment factor (e.g., a product of the adjustment factor and relevance score).