1. A method comprising one or more of the steps of: detecting linear trends based on bin-counting of data points that are generated from a set of query fingerprints, which are extracted from a query content item, and a set of correspondingly matching reference content items, which are extracted from a reference content item; detecting trends based on a RANSAC derived confidence scores that are computed for multiple candidate content items, wherein the trends detected for the candidate content items are compared against a threshold in order of decreasing confidence score until a trend that satisfies the threshold is found; or ranking fingerprint derived content identifications based on at least one of the bin-counting based detecting step or the RANSAC based detecting step, wherein duplicate or multiple reference content items are identified, which all match the same query content item; and computing an identity of the query content item based on one or more of the detected trends or the ranked identifications.