Fingerprint indexing, searching, matching. You know, general sleuthing.
- understand, at a fundamental level, the index and searching algorithm from the Philips hashing paper [1]
- ideally, provide an evaluation harness allowing easy tuning of parameters
- POST
/index
- POST
/search
approx_search_strategy=[none|flip]
the approximate search strategy to use when generating candidatesmax_hamming_distance=[int]
the maximum Hamming distance to consider for a candidate sub-fingerprint when performing a bit flipping approximate search strategyber=[float]
the upper bound threshold of the bit error rate for use when comparing fingerprint blocks between query and candidate
- GET
/-/stats
shows statistics about the index
The HTTP POST body used in the HTTP API should be a protocol buffer encoded
fingerprint, octet binary encoded for HTTP. The schemas are defined in
fingerprint.proto
and are index and query specific.
[1] J. Haitsma and A. Kalker, “A Highly Robust Audio Fingerprinting System,” in Proc. International Symposium on Music Information Retrieval (ISMIR), 2002.
The MIT License (MIT)
Copyright (c) 2014 Josh Devins
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