DocumentCode :
2935849
Title :
A lexica family with small semantic gap
Author :
Liu, Jiemin ; Tian, Qi ; Lu, Yijuan ; Wang, Changhu ; Zhang, Lei ; Yang, Xiaokang ; Li, Shipeng
Author_Institution :
Microsoft Res. Asia, Beijing, China
fYear :
2009
fDate :
June 28 2009-July 3 2009
Firstpage :
1484
Lastpage :
1487
Abstract :
Defining a lexicon of high-level concepts is the first step for data collection and model construction in concept-based image retrieval. Differences of semantic gaps among concepts are well worth considering. By measuring consistency in visual space and textual space, concepts with small semantic gap can be obtained. Considering so many diverse concepts in large-scale image dataset, we construct a lexica family of high-level concepts with small semantic gap based on different low-level features and different consistency measurements. In this lexica family, the lexica are independent to each other and mutually complementary. It provides helpful suggestions about data collection, feature selection and search model construction for large-scale image retrieval.
Keywords :
data analysis; feature extraction; image retrieval; text analysis; concept-based image retrieval; data collection; feature selection; high-level concept; large-scale image dataset; semantic gap; visual space; Asia; Computer science; Extraterrestrial measurements; Frequency; Image databases; Image retrieval; Information retrieval; Large-scale systems; Ontologies; Statistics; image retrieval; large-scale; lexica; semantic gap;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia and Expo, 2009. ICME 2009. IEEE International Conference on
Conference_Location :
New York, NY
ISSN :
1945-7871
Print_ISBN :
978-1-4244-4290-4
Electronic_ISBN :
1945-7871
Type :
conf
DOI :
10.1109/ICME.2009.5202784
Filename :
5202784
Link To Document :
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