An information processing device, an image processing method and a computer readable medium storing program code for information processing are discloses. In one example, an information processing device comprises a controller configured to transmit a file group including an image file and a related file associated with the image file, and perform second transmission processing to transmit the image file in a case where first transmission processing to transmit the related file is completed.

Systems and methods are provided for relevance-based media content discovery. Relevance scores for segments of a media asset are calculated based on a time amount that at least one viewer has viewed the segments of the media asset. Segments are then chosen for display based on the relevance score. Users may select segments based on representative images of the segments.

Systems and methods are provided for relevance-based media content discovery. Relevance scores for segments of a media asset are calculated based on a time amount that at least one viewer has viewed the segments of the media asset. Segments are then chosen for display based on the relevance score. Users may select segments based on representative images of the segments.

Implementations described herein relate to methods, devices, and computer-readable media to display a user interface that includes a map portion and a grid portion. A method includes identifying a first set of images that match a first region of a digital map and causing a user interface to be displayed that includes a map portion that corresponds to the first region of the digital map and a grid portion that includes images of the first set. The method further includes receiving user input indicative of a second region of the digital map. The method further includes identifying a second set of images that match the second region of the digital map and updating the user interface such that the map portion of the updated user interface corresponds to the second region of the digital map and the grid portion of the updated user interface includes images of the second set.

The disclosed method may include (i) aggregating, within a group network application, program user accounts registered to perform a respective task defined in a database of the group network application with resource user accounts registered as sources to provide resources for performance of the respective task, (ii) provisioning an interface that enables a program user account to select a structure for a metadata publication from a set of predefined structures, (iii) fulfilling at least part of the metadata publication based on an instruction from the program user account, and (iv) publishing the metadata publication over a wide area network in accordance with the instruction from the program user account.

The disclosed method may include (i) aggregating, within a group network application, program user accounts registered to perform a respective task defined in a database of the group network application with resource user accounts registered as sources to provide resources for performance of the respective task, (ii) provisioning an interface that enables a program user account to select a structure for a metadata publication from a set of predefined structures, (iii) fulfilling at least part of the metadata publication based on an instruction from the program user account, and (iv) publishing the metadata publication over a wide area network in accordance with the instruction from the program user account.

A system for generating a composite image of an area behind a vehicle includes a controller that receives a first image of a trailer from a vehicle camera and a second image of an area aft of the trailer with a trailer camera. A portion of the area around the vehicle is not within a line of sight of either the vehicle camera or the trailer camera. A third image of an area proximate the vehicle is obtained from a database containing previously obtained images and combines the first image, the second image and the third image into a composite image. A method of generating a composite image is also disclosed.

A system for generating a composite image of an area behind a vehicle includes a controller that receives a first image of a trailer from a vehicle camera and a second image of an area aft of the trailer with a trailer camera. A portion of the area around the vehicle is not within a line of sight of either the vehicle camera or the trailer camera. A third image of an area proximate the vehicle is obtained from a database containing previously obtained images and combines the first image, the second image and the third image into a composite image. A method of generating a composite image is also disclosed.

The present invention relates to a system and method for detecting inappropriate content on a device and filtering content on a variety of media. Inappropriate content is detected by sampling a display of the device to produce a sample, preprocessing the sample using a local processor and locally stored software to determine if the sample is a likely candidate to include objectionable content, and if found to be a likely candidate, analyzing the sample using an artificial intelligence routine running on said local processor;

A machine may be configured to execute a machine-learning process for identifying and understanding fine properties of various items of various types by using images and associated corresponding annotations, such as titles, captions, tags, keywords, or other textual information applied to these images. By use of a machine-learning process, the machine may perform property identification accurately and without human intervention. These item properties may be used as annotations for other images that have similar features. Accordingly, the machine may answer user-submitted questions, such as “What do rustic items look like?,” and items or images depicting items that are deemed to be rustic can be readily identified, classified, ranked, or any suitable combination thereof.