17. The method of claim 9 , further comprising mapping extrinsic dimensional data including at least one of temporal data, audio data, visual data, context data, mood data or event data to the query or set of queries to generate results that include a combination of text, visual or audible data.
9. A computer-implemented method of performing a multi-dimensional search, comprising: employing a processor to execute computer executable instructions stored on a computer readable storage medium to perform the following acts: receiving an input, the input comprises visual data and at least one of text or audio data, wherein the visual data is from an image file; extracting a plurality of features from the input comprising: utilizing a pattern recognition component to extract a plurality of features from the image file, wherein the features comprise physical attributes that are visually identifiable in the image file; establishing a plurality of search terms based at least in part upon a subset of the extracted features; retrieving a plurality of results based at least in part upon a subset of the search terms; collecting and indexing search-related information across a plurality of dimensions, and building an index based upon features associated with the input; automatically and dynamically extracting features from searchable items and making the features available for search based upon a particular query or set of queries; learning, based on context information, historical data, or feedback, what results are desired in view of a determined and inferred query, as well as how the results should be rendered, and generating a statistical model with the results; and filtering a subset of the plurality of results in accordance with at least one of a user context, a user preference, a relevancy factor with respect to the input, or a device context.