Další formáty:
BibTeX
LaTeX
RIS
@inproceedings{899278,
author = {Homola, Tomáš and Dohnal, Vlastislav and Zezula, Pavel},
address = {New York},
booktitle = {3rd International Conference on Similarity Search and Applications (SISAP 2010)},
keywords = {sub image retrieval},
howpublished = {tištěná verze "print"},
language = {eng},
location = {New York},
isbn = {978-1-4503-0420-7},
pages = {127-128},
publisher = {ACM Press},
title = {Sub-image Searching Through Intersection of Local Descriptors},
year = {2010}
}
TY - JOUR
ID - 899278
AU - Homola, Tomáš - Dohnal, Vlastislav - Zezula, Pavel
PY - 2010
TI - Sub-image Searching Through Intersection of Local Descriptors
PB - ACM Press
CY - New York
SN - 9781450304207
KW - sub image retrieval
N2 - The complexity of search in current business intelligence systems, academic research, or even the home audiovisual databases grows up rapidly. Users require searching by the content of their data. For example, the user sees a cathedral while watching a movie and by taking a snapshot, his or her private collection of holiday photos can be searched for images containing that cathedral. In practice, it is not sufficient to store data and search in it by exact match but rather by means of similarity, i.e. retrieving data items similar to a query item. Similarity searching is especially requested in multimedia databases, digital right management systems, computer aided diagnosis, but also in natural sciences and psychology. In these fields, theoretical primal background for querying by similarity is already defined. In this demonstration, we focus on similarity searching from the perspective of identifying and locating an object depicted in a query image in a collection of images.
ER -
HOMOLA, Tomáš, Vlastislav DOHNAL a Pavel ZEZULA. Sub-image Searching Through Intersection of Local Descriptors. In \textit{3rd International Conference on Similarity Search and Applications (SISAP 2010)}. New York: ACM Press. s.~127-128. ISBN~978-1-4503-0420-7. 2010.
|
