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Logo information recognition in large-scale social media data

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Abstract

Recent years have shown us the quick development of social network. For companies, microblog platform is more and more important as one source to disseminate brand information and monitor their development. Compared with the frequently used text information existing in traditional media, microblog platform provides information about brands in more types such as images and other related information forms. According to the statistics, microblogs posted on social network contain more and more percentage of images. Hence how to recognize logos in images from social network is of high value. To address this problem, we propose a novel learning-based logo detection method with social network information assistance. A new dense histogram type feature is proposed to classify logo and non-logo image patches. To increase the detection precision, social network content is analyzed and employed to do filtering to reduce detection window candidates. Through the evaluation on large-scale data collected from Sina Weibo platform, the proposed method is demonstrated effective.

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Notes

  1. http://www.weibo.com.

References

  1. Chu, W.T., Lin, T.C.: Logo recognition and localization in real-world images using visual patterns. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 973–976 (2012)

  2. Comaniciu, D., Ramesh, V., Meer, P.: Kernel-based object tracking. IEEE Trans. Pattern Anal. Mach. Intell. 25(5), 564–577 (2003)

    Article  Google Scholar 

  3. Dalal, N., Triggs, B.: Histograms of oriented gradients for human detection. IEEE Computer Soc. Conf. Computer Vis. Pattern Recogn. 1, 886–893 (2005)

    Google Scholar 

  4. Dollar, P., Wojek, C., Schiele, B., Perona, P.: Pedestrian detection: a benchmark. In: IEEE Conference on Computer Vision and Pattern Recognition, pp. 304–311 (2009)

  5. Efron, M.: Information search and retrieval in microblogs. J. Am. Soc. Inf. Sci. Technol. 62(6), 996–1008 (2011)

    Article  MathSciNet  Google Scholar 

  6. Gao, Y., Tang, J., Hong, R., Dai, Q., Chua, T.S., Jain, R.: W2go: a travel guidance system by automatic landmark ranking. In: Proceedings of the International Conference on Multimedia, pp. 123–132. ACM (2010)

  7. Gao, Y., Wang, F., Luan, H., Chua, T.S.: Brand data gathering from live social media streams. In: ACM Conference on Multimedia Retrieval (2014)

  8. Gao, Y., Wang, M., Luan, H., Shen, J., Yan, S., Tao, D.: Tag-based social image search with visual-text joint hypergraph learning. In: Proceedings of the 19th ACM international conference on Multimedia, pp. 1517–1520. ACM (2011)

  9. Gao, Y., Wang, M., Tao, D., Ji, R., Dai, Q.: 3-D object retrieval and recognition with hypergraph analysis. IEEE Trans. Image Process. 21(9), 4290–4303 (2012)

    Article  MathSciNet  Google Scholar 

  10. Gao, Y., Wang, M., Zha, Z.J., Shen, J., Li, X., Wu, X.: Visual-textual joint relevance learning for tag-based social image search. IEEE Trans. Image Process. 22(1), 363–376 (2013)

    Article  MathSciNet  Google Scholar 

  11. Gu, C., Wang, S.: Empirical study on social media marketing based on sina microblog. In: Second International Conference on Business Computing and Global Informatization (BCGIN), pp. 537–540 (2012)

  12. Ji, R., Duan, L.Y., Chen, J., Yao, H., Yuan, J., Rui, Y., Gao, W.: Location discriminative vocabulary coding for mobile landmark search. Int. J. Computer Vis. 96(3), 290–314 (2012)

    Article  MATH  Google Scholar 

  13. Ji, R., Gao, Y., Zhong, B., Yao, H., Tian, Q.: Mining flickr landmarks by modeling reconstruction sparsity. ACM Trans. Multimedia Comput. Commun. Appl. (TOMCCAP) 7(1), 31 (2011)

  14. Ji, R., Yao, H., Liu, W., Sun, X., Tian, Q.: Task-dependent visual-codebook compression. IEEE Trans. Image Process. 21(4), 2282–2293 (2012)

    Article  MathSciNet  Google Scholar 

  15. Li, G., Cao, J., Jiang, J., Li, Q., Yao, L.: Brand tweets: how to popularize the enterprise micro-blogs. In: 6th IEEE Joint International Information Technology and Artificial Intelligence Conference (ITAIC), vol. 1, pp. 136–139 (2011)

  16. Natarajan, P., Wu, Y., Saleem, S., Macrostie, E., Bernardin, F., Prasad, R., Natarajan, P.: Large-scale, real-time logo recognition in broadcast videos. In: IEEE International Conference on Multimedia and Expo (ICME), pp. 1–4 (2011)

  17. Neubeck, A., Van Gool, L.: Efficient non-maximum suppression. In: Proceedings of the 18th International Conference on Pattern Recognition. ICPR ’06, vol. 03, pp. 850–855. IEEE Computer Society, Washington, DC, USA (2006)

  18. Ojala, T., Pietikainen, M., Maenpaa, T.: Multiresolution gray-scale and rotation invariant texture classification with local binary patterns. IEEE Trans. Pattern Anal. Mach. Intell. 24(7), 971–987 (2002)

    Article  Google Scholar 

  19. Phan, R., Androutsos, D.: Content-based retrieval of logo and trademarks in unconstrained color image databases using color edge gradient co-occurrence histograms. Computer Vis. Image Underst. 114(1), 66–84 (2010)

    Article  Google Scholar 

  20. Revaud, J., Douze, M., Schmid, C.: Correlation-based burstiness for logo retrieval. In: Proceedings of the 20th ACM international conference on Multimedia, MM ’12, pp. 965–968 (2012)

  21. Romberg, S., Pueyo, L.G., Lienhart, R., van Zwol, R.: Scalable logo recognition in real-world images. In: Proceedings of the 1st ACM International Conference on Multimedia Retrieval, ICMR ’11, pp. 25:1–25:8 (2011)

  22. Sang, J., Xu, C.: Right buddy makes the difference: an early exploration of social relation analysis in multimedia applications. In: Proceedings of the 20th ACM international conference on Multimedia, pp. 19–28. ACM (2012)

  23. Sang, J., Xu, C., Liu, J.: User-aware image tag refinement via ternary semantic analysis. IEEE Trans. Multimed. 14(3), 883–895 (2012)

    Article  Google Scholar 

  24. Sui, Y., Yang, X.: The potential marketing power of microblog. In: Second International Conference on Communication Systems, Networks and Applications (ICCSNA), vol. 1, pp. 164–167 (2010)

  25. Viola, P., Jones, M.J.: Robust real-time face detection. Int. J. Computer Vis. 57(2), 137–154 (2004)

    Article  Google Scholar 

  26. Wang, X., Han, T., Yan, S.: An hog-lbp human detector with partial occlusion handling. In: IEEE 12th International Conference on Computer Vision, pp. 32–39 (2009)

  27. Zhang, L., Gao, Y., Zimmermann, R., Tian, Q., Li, X.: Fusion of multichannel local and global structural cues for photo aesthetics evaluation. IEEE Trans. Image Process. 23(3), 1419–1429 (2014)

    Article  MathSciNet  Google Scholar 

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Authors and Affiliations

  1. School of Computing, National University of Singapore, Singapore, Singapore

    Fanglin Wang & Ge Gao

  2. School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, China

    Shuhan Qi

  3. School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China

    Sicheng Zhao

  4. A*STAR, Institute for Infocomm Research, Singapore, Singapore

    Xiangyu Wang

Authors
  1. Fanglin Wang
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  2. Shuhan Qi
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  3. Ge Gao
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  4. Sicheng Zhao
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  5. Xiangyu Wang
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Corresponding author

Correspondence to Xiangyu Wang.

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Wang, F., Qi, S., Gao, G. et al. Logo information recognition in large-scale social media data. Multimedia Systems 22, 63–73 (2016). https://doi.org/10.1007/s00530-014-0393-x

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