@inproceedings{bb965f720f784b8f94158911e2223787,
title = "Direct processing of compressed SIFT feature vectors",
abstract = "The problem of compressing a large collection of feature vectors so that object identification can further be processed on the compressed form of the features is investigated. The idea is to perform matching against a query image in the compressed form of the feature descriptor vectors retaining the metric. Specifically, we concentrate on SIFT (Scale Invariant Feature Transform), a known object detection method. Given two SIFT feature vectors, we suggest achieving our goal to compress them using a lossless encoding for which the pair wise matching can be done directly on the compressed files, by means of a Fibonacci code.",
keywords = "Compressed matching, Fibinacci codes, SIFT feature transform",
author = "Klein, {Shmuel T.} and Dana Shapira",
year = "2014",
doi = "10.1109/DCC.2014.53",
language = "אנגלית",
isbn = "9781479938827",
series = "Data Compression Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "410",
booktitle = "Proceedings - DCC 2014",
address = "ארצות הברית",
note = "2014 Data Compression Conference, DCC 2014 ; Conference date: 26-03-2014 Through 28-03-2014",
}