Mobile phones and other portable devices are equipped with a variety of technologies by which existing functionality can be improved, and new functionality can be provided. Some aspects relate to visual search capabilities, and determining appropriate actions responsive to different image inputs. Others relate to processing of image data. Still others concern metadata generation, processing, and representation. Yet others concern user interface improvements. Other aspects relate to imaging architectures, in which a mobile phone's image sensor is one in a chain of stages that successively act on packetized instructions/data, to capture and later process imagery. Still other aspects relate to distribution of processing tasks between the mobile device and remote resources (“the cloud”). Elemental image processing (e.g., simple filtering and edge detection) can be performed on the mobile phone, while other operations can be referred out to remote service providers. The remote service providers can be selected using techniques such as reverse auctions, through which they compete for processing tasks. A great number of other features and arrangements are also detailed.

A computer-implemented method for implementing a map calendar application and corresponding map calendar GUI that provide time mold functionality is described herein. The method includes executing the map calendar application to provide the map calendar GUI surfaced on a display. The map calendar GUI includes an interactive visualization of a map calendar, which includes a continuous, manipulable sequence of calendar content data corresponding to calendar content items that are organized based on units of time within a coordinate plane. The method also includes categorizing the calendar content items based on time categories corresponding to the calendar content items and identifying time patterns corresponding to the categorized calendar content items. The method further includes generating a time mold of the map calendar based on the identified time patterns and visually overlaying the time mold onto corresponding calendar content items within the interactive visualization.

An electronic device and method for generating an augmented image. The device includes an image sensor and an electronic processor. The electronic processor is configured to receive an image, retrieve a set of keywords, and identify a first set of features within the image corresponding to at least one keyword from the set of keywords, producing first metadata. The electronic processor is configured to compress the image, identify a second set of features within the compressed image, producing second metadata, and determine missing metadata between the first metadata and the second metadata. The electronic processor is configured to generate an augmented image by associating the missing metadata to the compressed image and perform at least one selected from the group consisting of transmitting the augmented image to another device and decompressing the augmented image to create a decompressed image and presenting the decompressed image including the missing metadata.

The present disclosure provides computerized, automated real estate valuation systems and methods that take into account subjective factors of the property like curb appeal and property condition. In preferred embodiments, the valuation system uses image recognition of images (photos and/or videos) associated with the property to automatically identify which comparable properties to include and to exclude in determining the value of the property.

The present disclosure provides computerized, automated real estate valuation systems and methods that take into account subjective factors of the property like curb appeal and property condition. In preferred embodiments, the valuation system uses image recognition of images (photos and/or videos) associated with the property to automatically identify which comparable properties to include and to exclude in determining the value of the property.

A user interface facility is described. The facility receives an indication that a trip is to be planned for one or more travelers including a first user. In response to receiving this indication, the facility causes to be displayed to the first user a multiplicity of pictorial representations, each of the displayed pictorial representations conveying one or more travel interests. For each of multiplemultiple pictorial representations among the displayed pictorial representations, the y: receives user input selecting the displayed pictorial representation; and, in response to receiving the user input, causes redisplay of the displayed pictorial representation in a manner that visually reflects that it has been selected.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for analyzing images for generating query responses. One of the methods includes determining, using a textual query, an image category for images responsive to the textual query, and an output type that identifies a type of requested content; selecting, using data that associates a plurality of images with a corresponding category, a subset of the images that each belong to the image category, each image in the plurality of images belonging to one of the two or more categories; analyzing, using the textual query, data for the images in the subset of the images to determine images responsive to the textual query; determining a response to the textual query using the images responsive to the textual query; and providing, using the output type, the response to the textual query for presentation.

Visual analytics tool for updating object detection models in autonomous driving applications. In one embodiment, an object detection model analysis system including a computer and an interface device. The interface device includes a display device. The computer includes an electronic processor that is configured to extract object information from image data with a first object detection model, extract characteristics of objects from metadata associated with image data, generate a summary of the object information and the characteristics, generate coordinated visualizations based on the summary and the characteristics, generate a recommendation graphical user interface element based on the coordinated visualizations and a first one or more user inputs, and update the first object detection model based at least in part on a classification of one or more individual objects as an actual weakness in the first object detection model to generate a second object detection model for autonomous driving.

Visual analytics tool for updating object detection models in autonomous driving applications. In one embodiment, an object detection model analysis system including a computer and an interface device. The interface device includes a display device. The computer includes an electronic processor that is configured to extract object information from image data with a first object detection model, extract characteristics of objects from metadata associated with image data, generate a summary of the object information and the characteristics, generate coordinated visualizations based on the summary and the characteristics, generate a recommendation graphical user interface element based on the coordinated visualizations and a first one or more user inputs, and update the first object detection model based at least in part on a classification of one or more individual objects as an actual weakness in the first object detection model to generate a second object detection model for autonomous driving.

An information processing apparatus includes a first obtaining unit configured to obtain a notification information set from a cloud storage, a second obtaining unit configured to transmit user ID information of a user using the information processing apparatus to a cloud server, and to obtain notification ID information transmitted from the cloud server in response to the transmitted user ID information, and a determination unit configured to determine the notification information included in the notification information set obtained by the first obtaining unit and corresponding to the notification ID information obtained by the second obtaining unit as notification information of a display target.