Efficient multimedia information retrieval with query level fusion

Saeid Sattari; Adnan Yazici

doi:10.1007/978-3-319-26154-6_28

Efficient multimedia information retrieval with query level fusion

Saeid Sattari, Adnan Yazici

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Citations (Scopus)

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	https://doi.org/10.1007/978-3-319-26154-6_28
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

Keywords

Crossmodal Retrieval
Multimedia database
Multimodal query
Query level fusion

ASJC Scopus subject areas

Control and Systems Engineering
Computer Science(all)

Access to Document

10.1007/978-3-319-26154-6_28

Fingerprint Dive into the research topics of 'Efficient multimedia information retrieval with query level fusion'. Together they form a unique fingerprint.

Cite this

Sattari, S., & Yazici, A. (2016). Efficient multimedia information retrieval with query level fusion. In O. Pivert, A. Yazici, H. Larsen, M. A. Vila, T. Andreasen, H. Christiansen, J. Kacprzyk, S. Zadrozny, G. De Tre, & G. Pasi (Eds.), Flexible Query Answering Systems 2015 - Proceedings of the 11th International Conference, FQAS 2015 (pp. 367-379). (Advances in Intelligent Systems and Computing; Vol. 400). Springer Verlag. https://doi.org/10.1007/978-3-319-26154-6_28

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

Sattari, S & Yazici, A 2016, Efficient multimedia information retrieval with query level fusion. in O Pivert, A Yazici, H Larsen, MA Vila, T Andreasen, H Christiansen, J Kacprzyk, S Zadrozny, G De Tre & G Pasi (eds), Flexible Query Answering Systems 2015 - Proceedings of the 11th International Conference, FQAS 2015. Advances in Intelligent Systems and Computing, vol. 400, Springer Verlag, pp. 367-379, 11th International Conference on Flexible Query Answering Systems, FQAS 2015, Cracow, Poland, 10/26/15. https://doi.org/10.1007/978-3-319-26154-6_28

Sattari S, Yazici A. Efficient multimedia information retrieval with query level fusion. In Pivert O, Yazici A, Larsen H, Vila MA, Andreasen T, Christiansen H, Kacprzyk J, Zadrozny S, De Tre G, Pasi G, editors, Flexible Query Answering Systems 2015 - Proceedings of the 11th International Conference, FQAS 2015. Springer Verlag. 2016. p. 367-379. (Advances in Intelligent Systems and Computing). https://doi.org/10.1007/978-3-319-26154-6_28

Sattari, Saeid ; Yazici, Adnan. / Efficient multimedia information retrieval with query level fusion. Flexible Query Answering Systems 2015 - Proceedings of the 11th International Conference, FQAS 2015. editor / 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. pp. 367-379 (Advances in Intelligent Systems and Computing).

@inproceedings{61c567ae4b3d41279ec118c1a8ea8aa7,

title = "Efficient multimedia information retrieval with query level fusion",

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.",

keywords = "Crossmodal Retrieval, Multimedia database, Multimodal query, Query level fusion",

author = "Saeid Sattari and Adnan Yazici",

year = "2016",

month = jan,

day = "1",

doi = "10.1007/978-3-319-26154-6_28",

language = "English",

isbn = "9783319261539",

series = "Advances in Intelligent Systems and Computing",

publisher = "Springer Verlag",

pages = "367--379",

editor = "Olivier Pivert and Adnan Yazici and Henrik Larsen and Vila, {Maria Amparo} and Troels Andreasen and Henning Christiansen and Janusz Kacprzyk and Slawomir Zadrozny and {De Tre}, Guy and Gabriella Pasi",

booktitle = "Flexible Query Answering Systems 2015 - Proceedings of the 11th International Conference, FQAS 2015",

address = "Germany",

note = "11th International Conference on Flexible Query Answering Systems, FQAS 2015 ; Conference date: 26-10-2015 Through 28-10-2015",

}

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

AN - SCOPUS:84983179844

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

T2 - 11th International Conference on Flexible Query Answering Systems, FQAS 2015

Y2 - 26 October 2015 through 28 October 2015

ER -