17. An object recognition trait identification system comprising: a computerized scene trait database storing a plurality of scene traits having values representative of a scene, the scene traits existing within a scene attribute space; a trait analysis engine coupled to the scene trait database comprising: an object recognition processor comprising circuitry configured by executable instruction code to accept at least a portion of a digital representation as input and derive a plurality of features by applying a recognition algorithm to the digital representation of an object in the scene, the plurality of features existing in a feature space; a feature set analyzer comprising circuitry configured by executable instruction code to generate trait variances with respect to the scene traits in the scene attribute space for features within at least one similarity feature set for a plurality of scenes, wherein a feature corresponds to at least one scene trait; a trait variance analyzer comprising circuitry configured by executable instruction code to select at least one distinguishing scene trait from the scene traits as a function of the trait variances where the at least one distinguishing scene trait differentiates features within the at least one similarity feature set; and a weight processor comprising circuitry configured to: (1) determine relative weighting for the at least one distinguishing scene trait; and (2) generate metadata using the relative weighting; and an object recognition system comprising an object recognition database coupled to the trait analysis engine and storing each feature in the similarity feature set along with metadata that includes the at least one distinguishing scene trait, wherein the trait analysis engine transmits content information including the generated metadata and features to the object recognition system, and the object recognition system recognizes objects based on content information including the generated metadata and features and transmits object recognition results to the trait analysis engine, thereby improving accuracy and reducing latency of digital image searches.
17. An object recognition trait identification system comprising: a computerized scene trait database storing a plurality of scene traits having values representative of a scene, the scene traits existing within a scene attribute space; a trait analysis engine coupled to the scene trait database comprising: an object recognition processor comprising circuitry configured by executable instruction code to accept at least a portion of a digital representation as input and derive a plurality of features by applying a recognition algorithm to the digital representation of an object in the scene, the plurality of features existing in a feature space; a feature set analyzer comprising circuitry configured by executable instruction code to generate trait variances with respect to the scene traits in the scene attribute space for features within at least one similarity feature set for a plurality of scenes, wherein a feature corresponds to at least one scene trait; a trait variance analyzer comprising circuitry configured by executable instruction code to select at least one distinguishing scene trait from the scene traits as a function of the trait variances where the at least one distinguishing scene trait differentiates features within the at least one similarity feature set; and a weight processor comprising circuitry configured to: (1) determine relative weighting for the at least one distinguishing scene trait; and (2) generate metadata using the relative weighting; and an object recognition system comprising an object recognition database coupled to the trait analysis engine and storing each feature in the similarity feature set along with metadata that includes the at least one distinguishing scene trait, wherein the trait analysis engine transmits content information including the generated metadata and features to the object recognition system, and the object recognition system recognizes objects based on content information including the generated metadata and features and transmits object recognition results to the trait analysis engine, thereby improving accuracy and reducing latency of digital image searches. 20. The system of claim 17 wherein the similarity feature set comprises a plurality of features derived from digital representations of a plurality of image captures, the plurality of features being represented in a feature space corresponding to a recognition algorithm and the similarity feature sets being selected based on a similarity measure.