Abstract
Image scene classification is an integral part of many aspects of image processing. Indoor and Outdoor classification is a fundamental part of scene processing as it is the starting point of many semantic scene evaluation approaches. Many novel techniques have been developed to tackle this problem, but each technique relies on its own database of images thus reducing the confidence in the success of each method. We attempt here to look at the current field of indoor / outdoor scene classification and develop a benchmark model for evaluating current methods.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Vailaya, A., Figueiredo, M., Jain, A., Zhang, H.J.: Image Classification for Content-Based Indexing. IEEE Transactions on Image Processing 10(1), 117–130 (2001)
Guerin-Dugue, A., Olivia, A.: Classification of Scene Photographs from Local Orientation Features. Pattern Recognition Letters 21, 1135 (2000)
Qiu, G., Feng, X., Fang, J.: Compressing Histogram Representations for Automatic Colour Photo Characterisation. Pattern Recognition (2004)
Srinivasan, S., Kanal, L.: Qualitative Landmark Recognition Using Visual Cues. Pattern Recognition Letters 18, 1405–1414 (1997)
Traherne, M., Singh, S.: An Integrated Approach to Automatic Indoor-Outdoor Scene Classification in Digital Images. In: Yang, Z.R., Yin, H., Everson, R.M. (eds.) IDEAL 2004. LNCS, vol. 3177, pp. 511–516. Springer, Heidelberg (2004)
Payne, A., Singh, S.: Indoor Vs. Outdoor Scene Classification In Digital Photographs. Pattern Recognition (2005) (in press)
Vailaya, A., Jain, A.K., Zhang, H.J.: On Image Classification: City Images vs. Landscapes. Pattern Recognition 31, 1921–1936 (1998)
Vailaya, A., Figueiredo, M., Jain, A., Zhang, H.J.: Bayesian Framework for Hierarchical Semantic Classification of Vacation Images. In: IEEE International Conference on Multimedia Computing and Systems, vol. 1, pp. 518–523 (1999)
Szummer, M., Picard, R.: Indoor-Outdoor Image Classification. In: IEEE International Workshop on Content-Based Access of Image and Video Databases, ICCV 1998 (1998)
Lu, L., Toyama, K., Hagar, G.: A Two Level Approach for Scene Recognition. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (June 2005)
Serrano, N., Savakis, A., Luo, J.: Improved Scene Classification Using Efficient Low-Level and Semantic Cues. Pattern Recognition (2004)
Luo, J., Savakis, A.: Indoor vs. Outdoor Classification of Consumer Photographs Using Low-Level and Semantic Features. In: Proceedings of the International Conference of Image Processing, Greece (2001)
Serrano, N., Savakis, A., Luo, J.: A Computationally Efficient Approach to Indoor/Outdoor Scene Classification. In: IEEE International Conference on Pattern Recognition (2003)
Meine, A., Hermes, T., Ioannidis, G., Fathi, R., Herzog, O.: Automatic Shot Boundary Detection and Classification of Indoor and Outdoor Scenes. In: Information Technology: The 11th Text Retrieval Conference (2003)
Fitzpatrick, P.: Indoor/Outdoor Scene Classification Project, http://www.mit.edu/people/paulfitz/pub/indoor-outdoor.pdf
Iqbal, Q., Aggarwal, J.K.: Retieval by Classification of Images Containing Large Man-Made Objects Using Perceptual Grouping. Pattern Recognition 35, 1462–1479 (2002)
Paek, S., Sable, C.L., Hatzivassiloglou, V., Jaimes, A., Schiffman, B.H., Chang, S.F., Mackeown, K.R.: Integration of Visual and Text Based Approaches for the Content Labelling and Classification of Photographs. In: ACM SIGIR 1999 Workshop on Multimedia Indexing Retrieval, Berkeley (1999)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Payne, A., Singh, S. (2005). A Benchmark for Indoor/Outdoor Scene Classification. In: Singh, S., Singh, M., Apte, C., Perner, P. (eds) Pattern Recognition and Image Analysis. ICAPR 2005. Lecture Notes in Computer Science, vol 3687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11552499_78
Download citation
DOI: https://doi.org/10.1007/11552499_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28833-6
Online ISBN: 978-3-540-31999-3
eBook Packages: Computer ScienceComputer Science (R0)