Abstract: A system for multi-tier visual recognition comprises a processor and a memory. The processor is configured to calculate a rank for each of a plurality of object models. The plurality of object models are used for visual recognition. Each of the plurality of object models has a size. The processor is configured to divide the plurality of object models into a plurality of sets based at least in part on the rank for each of the plurality of object models, and provide a first set of the plurality of sets to a first tier and a second set of the plurality of sets to a second tier. The memory coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for multi-tier visual recognition comprises a processor and a memory. The processor is configured to calculate a rank for each of a plurality of object models. The plurality of object models are used for visual recognition. Each of the plurality of object models has a size. The processor is configured to divide the plurality of object models into a plurality of sets based at least in part on the rank for each of the plurality of object models, and provide a first set of the plurality of sets to a first tier and a second set of the plurality of sets to a second tier. The memory coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for multi-tier visual recognition comprises a processor and a memory. The processor is configured to calculate a rank for each of a plurality of object models. The plurality of object models are used for visual recognition. Each of the plurality of object models has a size. The processor is configured to divide the plurality of object models into a plurality of sets based at least in part on the rank for each of the plurality of object models, and provide a first set of the plurality of sets to a first tier and a second set of the plurality of sets to a second tier. The memory coupled to the processor and configured to provide the processor with instructions.

Abstract: In one embodiment, a set of tags associated with a media item may be ascertained. One or more of a plurality of individuals may be identified based, at least in part, upon the set of tags associated with the media item and a plurality of sets of sharing preferences, each one of the plurality of sets of sharing preferences being associated with a corresponding one of the plurality of individuals and indicating tags for which media items are to be automatically shared with the corresponding one of the plurality of individuals. Information pertaining to the media item may be shared with the identified individuals.

Abstract: A system for link acquisition and usage using image recognition comprises an interface, a processor, and a memory. The interface is for receiving an image. The processor is configured to: determine one or more tags for the image; determine one or more links associated with the one or more tags; and cause an action associated with a selected link of the one or more links. The memory is coupled to the processor and is configured to provide the processor with instructions.

Abstract: A system for monitoring an image tagging system comprises a processor and a memory. The processor is configured to provide a user display for a type of monitoring of an image tagging system. The user display includes image tagging monitoring for: a) in the event that a computer vision match is found, a computer vision match and an associated computer vision tag and, b) in the event that no computer vision match is found, a human vision match and an associated human vision tag. A memory coupled to the processor and configured to provide the processor with instructions.

Abstract: A system for tagging an image comprises a processor and a memory. The processor is configured to analyze an image associated with an image query using one or more computer vision analysis types to determine zero or more computer vision matches. Each computer vision match has one or more associated computer vision tags. In the event that it is determined that there are zero computer vision matches, the processor is further configured to analyze the image associated with the image query using a human vision analysis system to determine zero or more human vision matches. Each human vision match has one or more associated human vision tags. A memory coupled to the processor and configured to provide the processor with instructions.

Abstract: In one embodiment, a set of tags associated with a media item may be ascertained. One or more of a plurality of individuals may be identified based, at least in part, upon the set of tags associated with the media item and a plurality of sets of sharing preferences, each one of the plurality of sets of sharing preferences being associated with a corresponding one of the plurality of individuals and indicating tags for which media items are to be automatically shared with the corresponding one of the plurality of individuals. Information pertaining to the media item may be shared with the identified individuals.