@inproceedings{425a15f766ea43a7b35868d9cc83f731,
title = "Global image representation using Locality-constrained Linear Coding for large-scale image retrieval",
abstract = "This paper proposes a global image representation based on Locality-constrained Linear Coding (LLC), with an aim to simplify the encoding process of local descriptors so as to facilitate large-scale image retrieval. Starting from the state-of-the-art Fisher Vector (FV) representation, we replace the computation of sophisticated posterior probabilities with simpler LLC. We then conduct several empirical studies to investigate the effects and benefits of this change and to adapt the other terms in FV for a better trade-off between performance and complexity. The result is a simpler global descriptor that combines the merits of both FV and LLC. Experimental results show that when compared with other similar works, our scheme not only brings performance benefits in mean Average Precision, but also offer complexity advantages.",
author = "Wu, {Yu Hsing} and Ku, {Wei Lin} and Wen-Hsiao Peng and Chou, {Hung Chun}",
year = "2014",
month = jan,
day = "1",
doi = "10.1109/ISCAS.2014.6865248",
language = "English",
isbn = "9781479934324",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "766--769",
booktitle = "2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014",
address = "United States",
note = "2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 ; Conference date: 01-06-2014 Through 05-06-2014",
}