Skip to main content
SpringerLink
Log in

RETRACTED ARTICLE: Photographer trajectory detection from images

  • Original Article
  • Published:
Personal and Ubiquitous Computing Aims and scope Submit manuscript

This article was retracted on 04 September 2023

This article has been updated

Abstract

This paper proposes a novel method for detecting a photographer’s shooting trajectory based on select images. Firstly, in a Lab color space, directional information and perceived color information were combined, and similar images were found by a color difference histogram. Local invariant descriptors were then constructed by the contrast context histogram method to match feature point areas and their context, and to judge whether these areas corresponded. Through this, the corresponding relationship for feature points between image sequences was obtained. Furthermore, the essential matrix for a pair of images was obtained through the singular value decomposition method to determine photographer trajectories.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9

Similar content being viewed by others

Change history

References

  1. Noah S, Steven MS, Richard S (2006) Photo tourism: exploring photo collections in 3D. ACM Trans Graph (TOG) 25(3):835–846

    Article  Google Scholar 

  2. Kalogerakis E, Vesselova O, Hays J, et al (2009) Image sequence geolocation with human travel priors. IEEE 12th International Conference on Computer Vision, pp.253–260

  3. Ryde J, Corso JJ (2012) Fast voxel maps with counting bloom filters. 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp 4413–4418

  4. Tsung-Yi Lin, Belongie S, Hays J(2013). Cross-view image geolocalization. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), pp. 891–898

  5. Xiong B, Grauman K (2014) Detecting snap points in egocentric video with a web photo prior. European Conference on Computer Vision(ECCV), pp 282–298

  6. Tian Y, Chen C, Shah M (2017) Cross-view image matching for geo-localization in urban environments. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 1998–2006

  7. Castaldo F, Zamir A, Angst R (2015) Semantic cross-view matching. IEEE International Conference on Computer Vision (ICCV), pp 9–17

  8. Zhu H, Deng L (2013) Image matching using gradient orientation selective cross correlation. Optik-Int J Light Electron Opt 124(20):4460–4464

    Article  Google Scholar 

  9. Do TT, Cheung NM (2018) Embedding based on function approximation for large scale image search. IEEE Trans Pattern Anal Mach Intell PP(99):626–638

    Article  Google Scholar 

  10. Yan N, Liao M, Jung C (2017) Super-speed up robust features image geometrical registration algorithm. IET Image Process 10(11):848–864

    Google Scholar 

  11. Chun-rong H, Chu-song C, Pau-choo C (2008) Contrast context histogram—an efficient discriminating local descriptor for object recognition and image matching. Pattern Recogn 41(10):3071–3077

    Article  MATH  Google Scholar 

  12. Vaishnavi D, Subashini TS (2015) A passive technique for image forgery detection using contrast context histogram features. Int J Electron Secur Digit Forensics 7(3):278–289

    Article  Google Scholar 

  13. Wei Z, Sun Y, Lin J, Liu S (2018) Learning adaptive receptive fields for deep image parsing networks. Comput Vis Media. https://doi.org/10.1007/s41095-018-0112-1

    Article  Google Scholar 

  14. Lu Z, Yang J, Liu Q (2017) Face image retrieval based on shape and texture feature fusion. Comput Vis Media 3(4):359–368

    Article  Google Scholar 

  15. Zhang J, Gai D, Zhang X (2017) Multi-example feature-constrained back-projection method for image super-resolution. Comput Vis Media 3(1):73–82

    Article  MATH  Google Scholar 

  16. Song X, Jiang S, Herranz L (2017) Multi-scale multi-feature context modeling for scene recognition in the semantic manifold. IEEE Trans Image Process PP(99):1–1

  17. Zand M, Doraisamy S, Halin AA (2017) Visual and semantic context modeling for scene-centric image annotation. Multimedia Tools Appl 76(6):8547–8571

    Article  Google Scholar 

  18. Putzu L, Ruberto CD (2017) Rotation invariant co-occurrence matrix features. International Conference on Image Analysis and Processing pp391–401

  19. Anna B, Andrew Z, Xavier M (2008) Scene classification using a hybrid generative/discriminative approach. IEEE Trans Pattern Anal Mach Intell 30(4):712–727

    Article  Google Scholar 

  20. Shen Y, Guturu PP, Buckles BP (2012) Wireless capsule endoscopy video segmentation using an unsupervised learning approach based on probabilistic latent semantic analysis with scale invariant features. IEEE Trans Inf Technol Biomed 16(1):98–105

    Article  Google Scholar 

  21. Hu S-M, Zhang F-L, Wang M et al (2013) PatchNet: a patch-based image representation for interactive library-driven image editing. ACM Trans Graph (TOG) 32(6):196–206

    Article  Google Scholar 

  22. Lin TY, Belongie S, Hays J (2013) Cross-view image geolocalization, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 891–898

  23. Zou H, Da F, Wang Z (2014) 3D face recognition by sliding complex wavelet structural similarity index on detail geometry images. J Comput Inf Syst 9(20):8333–8341

    Google Scholar 

  24. Plant W, Schaefer G (2010) Image retrieval on the honeycomb image browser, IEEE International Conference on Image Processing (ICIP), pp 3161–3164

  25. Quellec G, Lamard M, Cazuguel G, Cochener B, Roux C (2012) Fast wavelet-based image characterization for highly adaptive image retrieval. IEEE Trans Image Process 21(4):1613–1623

    Article  MathSciNet  MATH  Google Scholar 

  26. Schulze C, Frister R, Shafait F (2013) Eye-tracker based part-image selection for image retrieval. IEEE International Conference on Image Processing (ICIP), pp 4392–4396

  27. Barnes C, Zhang FL (2017) A survey of the state-of-the-art in patch-based synthesis. Computational Visual Media 3(1):1–18

    Article  Google Scholar 

  28. Darabi S, Shechtman E, Barnes C, et al (2012). Image melding: combining inconsistent images using patch-based synthesis. ACM Trans Graph 31(4): 82: 1–10

    Article  Google Scholar 

  29. Luo S, Sun Y, Shen I (2015) Geometrically consistent stereoscopic image editing using patch-based synthesis. IEEE Trans Vis Comput Graph 21(1):56–67

    Article  Google Scholar 

  30. Sang HP, Gao Y, Shen D (2016) Multi-atlas based segmentation editing with interaction-guided patch selection and label fusion. IEEE Trans Biomed Eng 63(6):1208–1219

    Article  Google Scholar 

  31. Barnes C, Shechtman E, Finkelstein A et al (2009) Patchmatch: a randomized correspondence algorithm for structural image editing. ACM Trans Graph (Proc. SIGGRAPH), 28(3), Article No. 24

  32. D Amiano L, Cozzolino D, Poggi G (2017) A Patchmatch-based dense-field algorithm for video copy-move detection and localization. IEEE Transactions on Circuits & Systems for Video Technology PP(99):1–1

  33. Lu J, Li Y, Yang H et al (2017) Patchmatch filter: edge-aware filtering meets randomized search for visual correspondence. IEEE Trans Pattern Anal Mach Intell 39(9):1866–1879

    Article  Google Scholar 

  34. Lin X, Yu ZL, Gu Z (2017) Batch image alignment via subspace recovery based on alternative sparsity pursuit. Comput Vis Media 3(3):295–304

    Article  Google Scholar 

  35. Kim J, Grauman K (2010) Asymmetric region-to-image matching for comparing images with generic object categories. IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp 2344–2351

  36. Ye Y, Shen L, Hao M (2017) Robust optical-to-SAR image matching based on shape properties. IEEE Geosci Remote Sens Lett 14(4):564–568

    Article  Google Scholar 

  37. Huang Z, Wei Z, Zhang G (2017) RWBD: learning robust weighted binary descriptor for image matching. IEEE Transactions on Circuits and Systems for Video Technology, PP(99):1–1

  38. Ge S, Jin X, Ye Q, Luo Z, Li Q (2018) Image editing by object-aware optimal boundary searching and mixed-domain composition. Comput Vis Media 4:71–82. https://doi.org/10.1007/s41095-017-0102-8

    Article  Google Scholar 

  39. Liu G-H, Yang J-Y (2013) Content-based image retrieval using color difference histogram. Pattern Recogn 46(1):188–198

    Article  Google Scholar 

  40. Gao YQ, Huang WL, Qiao Y (2017) Learning multiple local binary descriptors for image matching. Neurocomputing 266:239–246

    Article  Google Scholar 

  41. Wu W, Zhu H, Zhang Q (2017) Epipolar rectification by singular value decomposition of essential matrix. Multimed Tools Appl 1:1–25

    Google Scholar 

Download references

Funding

This study received funding from the National Natural Science Foundation of China (Grants: 61472227, 61772319, 61602277).

Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Shandong University, Jinan, 250101, China

    Linwei Fan, Huiyu Li & Caiming Zhang

  2. Co-innovation Center of Shandong Colleges and Universities: Future Intelligent Computing, Yantai, 264005, China

    Linwei Fan, Huiyu Li, Yan Zhang, Jinjiang Li & Caiming Zhang

  3. School of Mechanical Electronic & Information Engineering, China University of Mining & Technology, Beijing, 100083, China

    Mengjun Li

  4. School of Computer Science and Technology, Shandong Technology and Business University, Yantai, 264005, China

    Yan Zhang & Jinjiang Li

Authors
  1. Linwei Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Huiyu Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Mengjun Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yan Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jinjiang Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Caiming Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Linwei Fan.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Fan, L., Li, H., Li, M. et al. RETRACTED ARTICLE: Photographer trajectory detection from images. Pers Ubiquit Comput 22, 1005–1015 (2018). https://doi.org/10.1007/s00779-018-1150-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00779-018-1150-5

Keywords

Search

Navigation