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2018 | OriginalPaper | Chapter

Facebook5k: A Novel Evaluation Resource Dataset for Cross-Media Search

Authors : Sadaqat ur Rehman, Yongfeng Huang, Shanshan Tu, Obaid ur Rehman

Published in: Cloud Computing and Security

Publisher: Springer International Publishing

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Abstract

Semantic concepts selection for model construction and data collection is an open research question. It is highly demanding to choose good multimedia concepts with small semantic gaps to facilitate the work of cross-media system developers. Since, this work is very scarce therefore; this paper contributes a new real-world web image dataset created by NGN Tsinghua Laboratory students for cross media search. Unlike previous datasets, such as Flicker30k, Wikipedia and NUS have high semantic gap, results in leading to inconsistency with real time applications. To overcome these drawbacks, the proposed Facebook5k dataset includes: (1) 5130 images crawled from Facebook through users feelings; (2) Images are categorized according to users feelings; (3) Facebook5k is independent of tags and language, rather than uses feelings for search. Based on the proposed dataset, we point out key features of social website images and identify some research problems on image annotation and retrieval. The benchmark results show the effectiveness of the proposed dataset to simplify and improve general image retrieval.

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Footnotes
Literature
1.
Hwang, S.J., Grauman, K.: Reading between the lines: object localization using implicit cues from image tags. IEEE Trans. Pattern Anal. Mach. Intell. 34, 1145–1158 (2012)CrossRef
2.
Rasiwasia, N., Costa Pereira, J., Coviello, E., Doyle, G., Lanckriet, G.R., Levy, R., Vasconcelos, N.: A new approach to cross-modal multimedia retrieva. In: Proceedings of the 18th ACM International Conference on Multimedia, pp. 251–260 (2010)
3.
Grubinger, M., Clough, P., Müller, H., Deselaers, T: The IAPR TC-12 benchmark: a new evaluation resource for visual information systems. In: International Workshop Ontoimage, vol. 5 (2006)
4.
Li, J., Wang, J.Z.: Real-time computerized annotation of pictures. IEEE Trans. Pattern Anal. Mach. Intell. 30, 985–1002 (2008)CrossRef
5.
Carneiro, G., Chan, A.B., Moreno, P.J., Vasconcelos, N.: Supervised learning of semantic classes for image annotation and retrieval. IEEE Trans. Pattern Anal. Mach. Intell. 29, 394–410 (2007)CrossRef
6.
Von Ahn, L., Dabbish, L: Labeling images with a computer game. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 319–326. ACM (2004)
7.
Russell, B.C., Torralba, A., Murphy, K.P., Freeman, W.T.: LabelMe: a database and web-based tool for image annotation. Int. J. Comput. Vis. 77, 157–173 (2008)CrossRef
8.
Wang, X.-J., Zhang, L., Jing, F., Ma, W.-Y.: Annosearch: image auto-annotation by search. In: IEEE computer Society Conference on Computer Vision and Pattern Recognition, vol. 2, pp. 1483–1490. IEEE Press, New York (2006)
9.
Lu, Y., Zhang, L., Tian, Q., Ma, W.-Y.: What are the high-level concepts with small semantic gaps? In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR). IEEE Press, New York (2008)
10.
Peng, Y., Huang, X., Zhao, Y.: An overview of cross-media retrieval: Concepts, methodologies, benchmarks and challenges. IEEE Trans. Circuits Syst. Video Technol. 28(9), 2372–2385 (2018)CrossRef
11.
Tang, J., Song, Y., Hua, X.-S., Mei, T., Wu, X.: To construct optimal training set for video annotation. In: Proceedings of the 14th ACM International Conference on Multimedia, pp. 89–92. ACM (2006)
12.
Hu, Y., Zheng, L., Yang, Y., Huang, Y.: Twitter100k: a real-world dataset for weakly supervised cross-media retrieval. IEEE Trans. Multimed. 20, 927–938 (2017)CrossRef
13.
Barnard, K., Duygulu, P., Forsyth, D., de Freitas, N., Blei, D.M., Jordan, M.I.: Matching words and pictures. J. Mach. Learn. Res. 3, 1107–1135 (2003)MATH
14.
Fei-Fei, L., Fergus, R., Perona, P.: Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. Comput. Vis. Image Underst. 106, 59–70 (2007)CrossRef
15.
Naphade, M., et al.: Large-scale concept ontology for multimedia. IEEE Multimed. 13, 86–91 (2006)CrossRef
16.
Snoek, C.G.M., Worring, M., Van Gemert, J.C., Geusebroek, J.-M., Smeulders, A.W.M.: The challenge problem for automated detection of 101 semantic concepts in multimedia. In: Proceedings of the 14th ACM International Conference on Multimedia, pp. 421–430. ACM Press (2006)
17.
18.
Kambau, R.A., Hasibuan, Z.A.: Concept-based multimedia information retrieval system using ontology search in cultural heritage. In: Second International Conference on Informatics and Computing (ICIC), pp. 1–6. IEEE Press, New York (2017)
19.
Kambau, R.A., Hasibuan, Z.A.: Evolution of information retrieval system: critical review of multimedia information retrieval system based on content, context, and concept. In: 11th International Conference on Information & Communication Technology and System (ICTS), pp. 91–98. IEEE Press, New York (2017)
20.
Li, X., Uricchio, T., Ballan, L., Bertini, M., Snoek, C.G.M., Bimbo, A.D.: Socializing the semantic gap: a comparative survey on image tag assignment, refinement, and retrieval. ACM Comput. Surv. (CSUR) 49 (2016)CrossRef
Metadata
Title
Facebook5k: A Novel Evaluation Resource Dataset for Cross-Media Search
Authors
Sadaqat ur Rehman
Yongfeng Huang
Shanshan Tu
Obaid ur Rehman
Copyright Year
2018
Book
Cloud Computing and Security

Print ISBN: 978-3-030-00005-9

Electronic ISBN: 978-3-030-00006-6

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-030-00006-6_47

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