@inproceedings{bacha_event_2016-1,

title = {Event recognition in photo albums using probabilistic graphical model and feature relevance},

author = {S. Bacha and M. S. Allili and N. Benblidia},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-85019068722&doi=10.1109%2fICPR.2016.7900063&partnerID=40&md5=7aaf779f00590113afa31fde63016619},

doi = {10.1109/ICPR.2016.7900063},

isbn = {10514651 (ISSN); 978-150904847-2 (ISBN)},

year  = {2016},

date = {2016-01-01},

booktitle = {Proceedings - International Conference on Pattern Recognition},

volume = {0},

pages = {2819–2823},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {The exponential use of digital cameras has raised a new problem: how to store/retrieve images/albums in very large photo databases that correspond to special events. In this paper, we propose a new probabilistic graphical model (PGM) to recognize events in photo albums stored by users. The PGM combines high-level image features consisting of scenes and objects detected in images. To consider the discriminative power of features, our model integrates the object/scene relevance for more precise prediction of semantic events in photo albums. Experimental results carried out on the challenging PEC dataset with 807 photo albums are presented. © 2016 IEEE.},

note = {Journal Abbreviation: Proc. Int. Conf. Pattern Recognit.},

keywords = {Discriminative power, Event recognition, Feature relevance, Graphic methods, Image features, Object detection, Photo album, Probabilistic graphical models, Probabilistic graphical models (PGM), Semantic event, Semantics, Speech recognition},

pubstate = {published},

tppubtype = {inproceedings}

}