Systems and methods for mobile search using bag of hash bits and boundary reranking

One or more computing devices associated with a server computing system for determining one or more ranked candidate media in response to media query data generated at a mobile client device corresponding to a query media, the computing devices comprising:

• one or more processors;
• and
• one or more computer-readable non-transitory storage media embodying software that is configured when executed by one or more of the processors to:
• receive the media query data from the mobile device, the media query data comprising feature data of one or more features of a query media encoded by a similarity preserving hashing function and coordinate data for each of the one or more features;
• match the one or more of the features with one or more corresponding features of an media database using the feature data to identify one or more features of the query media within a predetermined hamming distance in a hash table from the one or more corresponding features of the media database to obtain one or more matched features in the media database;
• determine one or more candidate media whose number of matched features exceed a matched feature threshold;
• generate a geometry similarity score between the query media and each of the one or more candidate media using the feature data and the coordinate data;
• rank the one or more candidate media based on the numbers of matched features and the geometry similarity score;
• and
• send the ranked candidate media to the mobile client device.

One or more computer-readable non-transitory storage media embodying software for determining one or more ranked candidate media in response to media query data generated at a mobile client device corresponding to a query media that is configured when executed to:

• receive the media query data from the mobile device, the media query data comprising feature data of one or more features of a query media encoded by a similarity preserving hashing function and coordinate data for each of the one or more features;
• match the one or more of the features with one or more corresponding features of an media database using the feature data to identify one or more features of the query media within a predetermined hamming distance in a hash table from the one or more corresponding features of the media database to obtain one or more matched features in the media database;
• determine one or more candidate media whose number of matched features exceed a matched feature threshold;
• generate a geometry similarity score between the query media and each of the one or more candidate media using the feature data and the coordinate data;
• rank the one or more candidate media based on the numbers of matched features and the geometry similarity score;
• and
• send the ranked candidate media to the mobile client device.