Abstract: 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.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure relates to user-selected metadata related to images captured by a camera of a client device. User-selected metadata may include contextual information and/or information provided by a user when the images are captured. In various implementations, a free form input may be received at a first client device of one or more client devices operated by a user. A task request may be recognized from the free form input, and it may be determined that the task request includes a request to store metadata related to one or more images captured by a camera of the first client device. The metadata may be selected based on content of the task request. The metadata may then be stored, e.g., in association with one or more images captured by the camera, in computer-readable media. The computer-readable media may be searchable by the metadata.

Abstract: 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.

Abstract: 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.

Abstract: The present disclosure relates to user-selected metadata related to images captured by a camera of a client device. User-selected metadata may include contextual information and/or information provided by a user when the images are captured. In various implementations, a free form input may be received at a first client device of one or more client devices operated by a user. A task request may be recognized from the free form input, and it may be determined that the task request includes a request to store metadata related to one or more images captured by a camera of the first client device. The metadata may be selected based on content of the task request. The metadata may then be stored, e.g., in association with one or more images captured by the camera, in computer-readable media. The computer-readable media may be searchable by the metadata.

Abstract: The present disclosure relates to user-selected metadata related to images captured by a camera of a client device. User-selected metadata may include contextual information and/or information provided by a user when the images are captured. In various implementations, a free form input may be received at a first client device of one or more client devices operated by a user. A task request may be recognized from the free form input, and it may be determined that the task request includes a request to store metadata related to one or more images captured by a camera of the first client device. The metadata may be selected based on content of the task request. The metadata may then be stored, e.g., in association with one or more images captured by the camera, in computer-readable media. The computer-readable media may be searchable by the metadata.

Abstract: The present disclosure relates to user-selected metadata related to images captured by a camera of a client device. User-selected metadata may include contextual information and/or information provided by a user when the images are captured. In various implementations, a free form input may be received at a first client device of one or more client devices operated by a user. A task request may be recognized from the free form input, and it may be determined that the task request includes a request to store metadata related to one or more images captured by a camera of the first client device. The metadata may be selected based on content of the task request. The metadata may then be stored, e.g., in association with one or more images captured by the camera, in computer-readable media. The computer-readable media may be searchable by the metadata.