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@inproceedings{949254,
author = {Homola, Tomáš and Dohnal, Vlastislav and Zezula, Pavel},
address = {Los Alamitos, California},
booktitle = {IEEE International Symposium on Multimedia (ISM 2011)},
doi = {http://dx.doi.org/10.1109/ISM.2011.19},
keywords = {image matching; sub-image retrieval; local image features; sequence alignment},
language = {eng},
location = {Los Alamitos, California},
isbn = {978-1-4577-2015-4},
pages = {1-8},
publisher = {IEEE Computer Society},
title = {Searching for Sub-images using Sequence Alignment},
year = {2011}
}
TY - JOUR
ID - 949254
AU - Homola, Tomáš - Dohnal, Vlastislav - Zezula, Pavel
PY - 2011
TI - Searching for Sub-images using Sequence Alignment
PB - IEEE Computer Society
CY - Los Alamitos, California
SN - 9781457720154
KW - image matching
KW - sub-image retrieval
KW - local image features
KW - sequence alignment
N2 - The availability of various photo archives and photo sharing systems made similarity searching much more important because the photos are not usually conveniently tagged. So the photos (images) need to be searched by their content. Moreover, it is important not only to compare images with a query holistically but also to locate images that contain the query as their part. The query can be a picture of a person, building, or an abstract object and the task is to retrieve images of the query object but from a different perspective or images capturing a global scene containing the query object. This retrieval is called the sub-image searching. In this paper, we propose an algorithm for retrieving database images by their similarity to and containment of a query. The novelty of it lies in application of a sequence alignment algorithm, which is commonly used in text retrieval. This forms an orthogonal solution to currently used approaches based on inverted files. The proposed algorithm is evaluated on a real-life data set containing photographs where images of logos are searched. It was compared to a state-of-the-art method and the improvement of 20\% in average mean precision was obtained.
ER -
HOMOLA, Tomáš, Vlastislav DOHNAL a Pavel ZEZULA. Searching for Sub-images using Sequence Alignment. In \textit{IEEE International Symposium on Multimedia (ISM 2011)}. Los Alamitos, California: IEEE Computer Society. s.~1-8. ISBN~978-1-4577-2015-4. doi:10.1109/ISM.2011.19. 2011.
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