3. The device of claim 1 , wherein the objects of the second feature quantity dictionary comprise at least one of (i) an object predicted to fall within the first image or (ii) an object predicted to fall within one or more second images acquired by the image acquisition unit subsequent to the first image.
1. A device, comprising: an image acquisition unit configured to acquire a first image; a transmission unit configured to transmit first information associated with the first image and an assistance information to a server, the server being associated with a first feature quantity dictionary; a receiving unit configured to receive a second feature quantity dictionary from the server in response to the transmission, the second feature quantity dictionary comprising less information than the first feature quantity dictionary; and an identification unit configured to identify an object within the first image using the second feature quantity dictionary, wherein the second feature quantity dictionary is a filtered version of the first feature quantity dictionary that is stored on the server, and the second feature quantity dictionary represents a subset of the first feature quantity dictionary and contains only selected contents of the first feature quantity dictionary having a highest relation to the first information and satisfying a threshold criteria, wherein an amount of contents that is selected from the first feature quantity dictionary as the subset forming the second feature quantity dictionary is based on a capability or processing ability of the device, and the amount of contents selected is determined and set based on a capability information contained in the assistance information transmitted from the transmission unit to the server, and wherein the image acquisition unit, the transmission unit, the receiving unit, and the identification unit are each implemented via at least one processor.