Abstract
What use is the sum of human knowledge if nothing can be found? Although significant advances have been made in text searching, only preliminary work has been done in finding images and videos in large digital collections. In fact, if we examine the most frequently used image and video retrieval systems (i.e. www.google.com) we find that they are typically oriented around text searches where manual annotation was already performed.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Wang, W., Song, Y., Zhang, A.: Semantics-based image retrieval by region saliency. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 27–35
de Bruijn, W., Lew, M.: Atomsnet: Multimedia peer 2 peer for file sharing. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 130–138
Vendrig, J., Worring, M.: Multimodal person identification in movies. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 166–175
Schaffalitzky, F., Zisserman, A.: Automated scene matching in movies. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 176–185
Denman, H., Rea, N., Kokaram, A.: Content based analysis for video from snooker broadcasts. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 186–193
Visser, R., Sebe, N., Bakker, E.: Object recognition for video retrieval. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 250–259
Bakker, E., Lew, M.: Semantic video retrieval using audio analysis. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 260–267
Kim, K., Choi, J., Kim, N., Kim, P.: Extracting semantic information from basketball video based on audio-visual features. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 268–277
Ruiz-del-Solar, J., Navarrete, P.: FACERET: An interactive face retrieval system based on self-organizing maps. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 149–156
Oh, K., Zaher, A., Kim, P.: Fast k-nn image search with self-organizing maps. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 288–297
Hussain, M., Eakins, J., Sexton, G.: Visual clustering of trademarks using the self-organizing map. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 139–148
Huang, J., Umamaheswaran, D., Palakal, M.: Video indexing and retrieval for archeological digital library, CLIOH. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 278–287
Park, G., Baek, Y., Lee, H. K.: A ranking algorithm using dynamic clustering for content-based image retrieval. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 316–324
Pickering, M., Rüger, S., Sinclair, D.: Video retrieval by feature learning in key frames. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 298–306
Smeaton, A.: Challenges for content-based navigation of digital video in the FÃschlár digital library. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 203–215
Enser, P., Sandom, C.: Retrieval of archival moving imagery-CBIR outside the frame? In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 194–202
Burke, M.: Personal construct theory as a research tool for analysing user perceptions of photographs. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 363–370
Tian, Q., Moghaddam, B., Huang, T.: Visualization, estimation, and user-modeling for interactive browsing of image libraries. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 7–16
Cox, G., de Jager, G.: A linear image-pair model and the associated hypothesis test for matching. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 56–63
Orriols, X., Binefa, X.: Online bayesian video summarization and linking. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 325–334
Bosson, A., Cawley, G., Chan, Y., Harvey, R.: Non-retrieval: Blocking pornographic images. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 46–55
Viallet, J., Bernier, O.: Face detection for video summaries. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 335–342
Smolka, B., Plataniotis, K.: On the coupled forward and backward anisotropic diffusion scheme for color image enhancement. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 64–73
Ko, B., Byun, H.: Multiple regions and their spatial relationship-based image retrieval. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 74–83
Wolf, J., Burgard, W., Burkhardt, H.: Using an image retrieval system for vision-based mobile robot localization. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 102–111
Qiu, G., Lam, K. M.: Spectrally layered color indexing. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 93–101
Š. Obdržálek, Matas, J.: Local affine frames for image retrieval. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 307–315
Sebe, N., Lew, M.: Robust shape matching. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 17–26
Leung, M. W., Chan, K. L.: Object-based image retrieval using hierarchical shape descriptor. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 157–165
Brucale, A., d’Amico, M., Ferri, M., Gualandri, M., Lovato, A.: Size functions for image retrieval: A demonstrator on randomly generated curves. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 223–232
Berens, J., Finlayson, G.: An efficient coding of three dimensional colour distributions for image retrieval. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 233–240
de Alarcón, P., Pascual-Montano, A., Carazo, J.: Spin images and neural networks for efficient content-based retrieval in 3D object databases. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 216–222
Feng, G., Jiang, J.: JPEG image retrieval based on features from DCT domain. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 112–120
Riley, K., Eakins, J.: Content-based retrieval of historical watermark images: I-Tracings. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 241–249
Howell, A., Young, D.: Image retrieval methods for a database of funeral monuments. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 121–129
Fauzi, M., Lewis, P.: Query by fax for content-based image retrieval. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 84–92
Müller, H., Marchand-Maillet, S., Pun, T.: The truth about Corel-Evaluation in image retrieval. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 36–45
Black, J., Fahmy, G., Panchanathan, S.: A method for evaluating the performance of content-based image retrieval systems based on subjectively determined similarity between images. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 343–352
Sebe, N., Tian, Q., Loupias, E., Lew, M., Huang, T.: Evaluation of salient point techniques. In: International Conference on Image and Video Retrieval, Lecture Notes in Computer Science, vol. 2383, Springer (2002) 353–362
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Lew, M.S., Sebe, N., Eakins, J.P. (2002). Challenges of Image and Video Retrieval. In: Lew, M.S., Sebe, N., Eakins, J.P. (eds) Image and Video Retrieval. CIVR 2002. Lecture Notes in Computer Science, vol 2383. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45479-9_1
Download citation
DOI: https://doi.org/10.1007/3-540-45479-9_1
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43899-1
Online ISBN: 978-3-540-45479-3
eBook Packages: Springer Book Archive