Accumulated reconstruction error vector (AREV): a semantic representation for cross-media retrieval

Verfasser / Beitragende:
[Kai Liu, Shikui Wei, Yao Zhao, Zhenfeng Zhu, Yunchao Wei, Changsheng Xu]
Ort, Verlag, Jahr:
2015
Enthalten in:
Multimedia Tools and Applications, 74/2(2015-01-01), 561-576
Format:
Artikel (online)
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024 7 0 |a 10.1007/s11042-014-1968-4  |2 doi 
035 |a (NATIONALLICENCE)springer-10.1007/s11042-014-1968-4 
245 0 0 |a Accumulated reconstruction error vector (AREV): a semantic representation for cross-media retrieval  |h [Elektronische Daten]  |c [Kai Liu, Shikui Wei, Yao Zhao, Zhenfeng Zhu, Yunchao Wei, Changsheng Xu] 
520 3 |a Cross-media retrieval aims to automatically perform the content-based search procedure among various media types (e.g., image, video and text), in which media representation plays an important role for providing the heterogeneous similarity measure. In this work, a novel semantic representation of cross-media, called accumulated reconstruction error vector (AREV), is proposed, which includes category-specific dictionary learning, media sample reconstruction, and accumulative reconstruction error concatenation. Instead of directly learning the correlation relationship among heterogeneous items in the same semantic groups, the AREV projects individually their original feature descriptions into a shared semantic space, in which each component is semantic consistent for various media types due to the consistency in category information. Experiments on the commonly used datasets, i.e. Wikipedia dataset and NUS-Wide dataset, show the good performance in terms of effectiveness and efficiency. 
540 |a Springer Science+Business Media New York, 2014 
690 7 |a Cross-media  |2 nationallicence 
690 7 |a Accumulated reconstruction error vector  |2 nationallicence 
690 7 |a Retrieval  |2 nationallicence 
690 7 |a Consistency  |2 nationallicence 
690 7 |a Dictionary learning  |2 nationallicence 
700 1 |a Liu  |D Kai  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
700 1 |a Wei  |D Shikui  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
700 1 |a Zhao  |D Yao  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
700 1 |a Zhu  |D Zhenfeng  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
700 1 |a Wei  |D Yunchao  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
700 1 |a Xu  |D Changsheng  |u Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China  |4 aut 
773 0 |t Multimedia Tools and Applications  |d Springer US; http://www.springer-ny.com  |g 74/2(2015-01-01), 561-576  |x 1380-7501  |q 74:2<561  |1 2015  |2 74  |o 11042 
856 4 0 |u https://doi.org/10.1007/s11042-014-1968-4  |q text/html  |z Onlinezugriff via DOI 
898 |a BK010053  |b XK010053  |c XK010000 
900 7 |a Metadata rights reserved  |b Springer special CC-BY-NC licence  |2 nationallicence 
908 |D 1  |a research-article  |2 jats 
949 |B NATIONALLICENCE  |F NATIONALLICENCE  |b NL-springer 
950 |B NATIONALLICENCE  |P 856  |E 40  |u https://doi.org/10.1007/s11042-014-1968-4  |q text/html  |z Onlinezugriff via DOI 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Liu  |D Kai  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wei  |D Shikui  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhao  |D Yao  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Zhu  |D Zhenfeng  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Wei  |D Yunchao  |u Institute of Information Science, Beijing Jiaotong University, 100044, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 700  |E 1-  |a Xu  |D Changsheng  |u Institute of Automation, Chinese Academy of Sciences, 100190, Beijing, China  |4 aut 
950 |B NATIONALLICENCE  |P 773  |E 0-  |t Multimedia Tools and Applications  |d Springer US; http://www.springer-ny.com  |g 74/2(2015-01-01), 561-576  |x 1380-7501  |q 74:2<561  |1 2015  |2 74  |o 11042