Abstract
Multimedia data particularly digital videos that contain various modalities (visual, audio, and text) are complex and time consuming to deal with. Therefore, managing a large volume of multimedia data reveals the necessity for efficient methods for modeling, processing, storing and retrieving such data. In this study, we investigate how to efficiently manage multimedia data, especially video data. In addition, we discuss various flexible query types including the combination of content as well as concept-based queries that provide users with the ability to perform multimodal query. Furthermore, we introduce a fusion-based approach at the query level to improve query retrieval performance of the multimedia database. Our experimental tests show a significant improvement in the query retrieval performance.
| Original language | English |
|---|---|
| Title of host publication | Flexible Query Answering Systems 2015 - Proceedings of the 11th International Conference, FQAS 2015 |
| Editors | Olivier Pivert, Adnan Yazici, Henrik Larsen, Maria Amparo Vila, Troels Andreasen, Henning Christiansen, Janusz Kacprzyk, Slawomir Zadrozny, Guy De Tre, Gabriella Pasi |
| Publisher | Springer Verlag |
| Pages | 367-379 |
| Number of pages | 13 |
| ISBN (Print) | 9783319261539 |
| DOIs | |
| Publication status | Published - Jan 1 2016 |
| Event | 11th International Conference on Flexible Query Answering Systems, FQAS 2015 - Cracow, Poland Duration: Oct 26 2015 → Oct 28 2015 |
Publication series
| Name | Advances in Intelligent Systems and Computing |
|---|---|
| Volume | 400 |
| ISSN (Print) | 2194-5357 |
Conference
| Conference | 11th International Conference on Flexible Query Answering Systems, FQAS 2015 |
|---|---|
| Country | Poland |
| City | Cracow |
| Period | 10/26/15 → 10/28/15 |
Fingerprint
Keywords
- Crossmodal Retrieval
- Multimedia database
- Multimodal query
- Query level fusion
ASJC Scopus subject areas
- Control and Systems Engineering
- Computer Science(all)
Cite this
Efficient multimedia information retrieval with query level fusion. / Sattari, Saeid; Yazici, Adnan.
Flexible Query Answering Systems 2015 - Proceedings of the 11th International Conference, FQAS 2015. ed. / Olivier Pivert; Adnan Yazici; Henrik Larsen; Maria Amparo Vila; Troels Andreasen; Henning Christiansen; Janusz Kacprzyk; Slawomir Zadrozny; Guy De Tre; Gabriella Pasi. Springer Verlag, 2016. p. 367-379 (Advances in Intelligent Systems and Computing; Vol. 400).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Efficient multimedia information retrieval with query level fusion
AU - Sattari, Saeid
AU - Yazici, Adnan
PY - 2016/1/1
Y1 - 2016/1/1
N2 - Multimedia data particularly digital videos that contain various modalities (visual, audio, and text) are complex and time consuming to deal with. Therefore, managing a large volume of multimedia data reveals the necessity for efficient methods for modeling, processing, storing and retrieving such data. In this study, we investigate how to efficiently manage multimedia data, especially video data. In addition, we discuss various flexible query types including the combination of content as well as concept-based queries that provide users with the ability to perform multimodal query. Furthermore, we introduce a fusion-based approach at the query level to improve query retrieval performance of the multimedia database. Our experimental tests show a significant improvement in the query retrieval performance.
AB - Multimedia data particularly digital videos that contain various modalities (visual, audio, and text) are complex and time consuming to deal with. Therefore, managing a large volume of multimedia data reveals the necessity for efficient methods for modeling, processing, storing and retrieving such data. In this study, we investigate how to efficiently manage multimedia data, especially video data. In addition, we discuss various flexible query types including the combination of content as well as concept-based queries that provide users with the ability to perform multimodal query. Furthermore, we introduce a fusion-based approach at the query level to improve query retrieval performance of the multimedia database. Our experimental tests show a significant improvement in the query retrieval performance.
KW - Crossmodal Retrieval
KW - Multimedia database
KW - Multimodal query
KW - Query level fusion
UR - http://www.scopus.com/inward/record.url?scp=84983179844&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84983179844&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-26154-6_28
DO - 10.1007/978-3-319-26154-6_28
M3 - Conference contribution
SN - 9783319261539
T3 - Advances in Intelligent Systems and Computing
SP - 367
EP - 379
BT - Flexible Query Answering Systems 2015 - Proceedings of the 11th International Conference, FQAS 2015
A2 - Pivert, Olivier
A2 - Yazici, Adnan
A2 - Larsen, Henrik
A2 - Vila, Maria Amparo
A2 - Andreasen, Troels
A2 - Christiansen, Henning
A2 - Kacprzyk, Janusz
A2 - Zadrozny, Slawomir
A2 - De Tre, Guy
A2 - Pasi, Gabriella
PB - Springer Verlag
ER -