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A next generation browsing environment for large image repositories

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Abstract

Next generation environments will change the way people work and live as they will provide new advances in areas ranging from remote work and education, e-commerce, gaming to information-on-demand. In many of these applications intelligent interpretation of multimedia data such as image, video and audio resources is necessary. In this paper we present an effective approach to handling image repositories providing the user with an intuitive interface of visualising and browsing large collections of pictures. Based on the idea of similarity-based organisation of images where images that are visually similar are located close to each other in visualisation space, images are projected onto a sphere with which the user can interact. Rotating the sphere reveals images of different colours while tilting operations focus on brighter or darker images. Large image collections are handled through a hierarchical approach that brings up similar, previously hidden, images when zooming in on an area. Furthermore, the way images are organised can be interactively changed by the user. Our next generation browsing environment has been successfully tested on a large database of several thousand images.

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References

  1. Bartolini I, Ciaccia P, Patella M (2006) Adaptively browsing image databases with PIBE. Multimed Tools Appl 31(3):269–286

    Article  Google Scholar 

  2. Chen C (2004) Information visualization, 2nd edn. Springer, New York

    Google Scholar 

  3. Chen C, Gagaudakis G, Rosin P (2000a) Similarity-based image browsing. In: Int. conference on intelligent information processing, pp 206–213

  4. Chen J, Bouman C, Dalton J (2000b) Hierarchical browsing and search of large image databases. IEEE Trans Image Processing 9(3):442–455

    Article  Google Scholar 

  5. Chen Y, Butz A (2008) PhotoSim: Tightly integrating image analysis into a photo browsing UI. In: Int. symposium on smart graphics, pp 224–231

  6. CIE (1989) International Lighting Vocabulary, 4th edn. CIE Publications 17.4, Commission International de L’Eclairage

  7. Dontcheva M, Agrawala M, Cohen M (2005) Metadata visualization for image browsing. In: 18th annual ACM symposium on user interface software and technology

  8. Gomi A, Miyazaki R, Itoh T, Li J (2008) CAT: A hierarchical image browser using a rectangle packing technique. In: 12th int. conference on information visualization, pp 82–87

  9. Heesch D (2008) A survey of browsing models for content based image retrieval. Multimed Tools Appl 40(2):261–284

    Article  Google Scholar 

  10. Heesch D, Rüger S (2004) NNk networks for content-based image retrieval. In: European conference on information retrieval, pp 253–266

  11. Keller I, Meiers T, Ellerbrock T, Sikora T (2001) Image browsing with PCA-assisted user-interaction. In: IEEE workshop on content-based access of image and video libraries, pp 102–108

  12. Krischnamachari S, Abdel-Mottaleb M (1999) Image browsing using hierarchical clustering. In: IEEE symposium on computers and communications, pp 301–307

  13. Kruskal J, Wish M (1978) Multidimensional scaling. Sage, Newbury Park

    Google Scholar 

  14. Moghaddam B, Tian Q, Lesh N, Shen C, Huang T (2004) Visualization and user-modeling for browsing personal photo libraries. Int Journal of Computer Vision 56(1–2):109–130

    Article  Google Scholar 

  15. Moving Picture Experts Group (1999) Description of core experiments for MPEG-7 color/texture descriptors. Tech. rep. ISO/IEC JTC1/SC29/WG11/ N2929

  16. Nakazato M, Huang T (2001) 3D MARS: immersive virtual reality for content-based image retrieval. In: IEEE int. conference on multimedia and expo, pp 44–47

  17. Nguyen G, Worring M (2008) Interactive access to large image collections using similarity-based visualization. J Vis Lang Comput 19(2):203–224

    Article  Google Scholar 

  18. Plant W, Schaefer G (2009) Evaluation and benchmarking of image database navigation tools. In: Int. conference on image processing, computer vision, and pattern recognition, vol 1, pp 248–254

  19. Platt J, Czerwinski M, Field B (2002) PhotoTOC: automatic clustering for browsing personal photographs. Tech. rep., Microsoft Research

  20. Rodden K, Wood K (2003) How do people manage their digital photographs? In: SIGCHI conference on human factors in computing systems, pp 409–416

  21. Rodden K, Basalaj D W Sinclair, Wood K (1999) Evaluating a visualisation of image similarity as a tool for image browsing. In: IEEE symposium on information visualization, pp 36–43

  22. Rodden K, Basalaj W, Sinclair D, Wood K (2000) A comparison of measures for visualising image similarity. In: The challenge of image retrieval

  23. Rubner Y, Guibas L, Tomasi C (1997) The earth mover’s distance, multi-dimensional scaling, and color-based image retrieval. In: Image understanding workshop, pp 661–668

  24. Ruszala S, Schaefer G (2004) Visualisation models for image databases: A comparison of six approaches. In: Irish machine vision and image processing conference, pp 186–191

  25. Sangwine J, Horne R (1998) The colour image processing handbook. Chapman & Hall, London

    Google Scholar 

  26. Schaefer G, Ruszala S (2005) Image database navigation: a globe-al approach. In: Int. symposium on visual computing. Springer lecture notes on computer science, vol 3804, pp 279–286

  27. Schaefer G, Ruszala S (2006) Hierarchical image database navigation on a hue sphere. In: Int. symposium on visual computing. Springer lecture notes on computer science, vol 4292, pp 814–823

  28. Schaefer G, Stich M (2004) UCID - An uncompressed colour image database. In: Storage and retrieval methods and applications for multimedia 2004. Proceedings of SPIE, vol 5307, pp 472–480

  29. Smeulders A, Worring M, Santini S, Gupta A, Jain R (2000) Content-based image retrieval at the end of the early years. IEEE Trans Pattern Anal Mach Intell 22(12):1249–1380

    Article  Google Scholar 

  30. Stricker M, Orengo M (1995) Similarity of color images. In: Conf. on storage and retrieval for image and video databases III. Proceedings of SPIE, vol 2420, pp 381–392

  31. Worring M, de Rooij O, van Rijn T (2007) Browsing visual collections using graphs. In: Int. workshop on workshop on multimedia information retrieval, pp 307–312

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  1. Department of Computer Science, Loughborough University, Loughborough, UK

    Gerald Schaefer

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  1. Gerald Schaefer
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Correspondence to Gerald Schaefer.

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Schaefer, G. A next generation browsing environment for large image repositories. Multimed Tools Appl 47, 105–120 (2010). https://doi.org/10.1007/s11042-009-0409-2

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