Analysis of Spatial Relationships in Images and Video
This project/paper is a work in progress. Please see the weekly updates for more information.
References
- DCPR MATLAB Toolbox, software, Jyh-Shing Roger Jang. From http://neural.cs.nthu.edu.tw/jang/matlab/toolbox/DCPR/
- J. M. Keller, M. R. Gray, and J. A. Givens. A Fuzzy K-Nearest Neighbor Algorithm. IEEE Transactions on Systems, Man, and Cybernetics, v. 15, no. 4, 1985: 580–585.
- “R-Histogram: Quantitative Representation of Spatial Relations for Similarity-Based Image Retrieval”, Wang and Makedon, 11th ACM Conf. on Multimedia, 2003—introduction of the R-Histogram and experimental results
- “Generating Fuzzy Semantic Metadata Describing Spatial Relations from Images using the R-Histogram”, by Wang, Makedon, et. al. (JCDL ’04, June 7–11 2004, Tuscon, AZ) — Introduces the k-NN/machine learning approach to spatial relationship metadata generation. I will use these algorithms as a basis for this project.
- “Comparison of Spatial Relation Definitions in Computer Vision”, by Keller and Wang (Proceedings of ISUMA-NAFIPS ’95) — Summarizes the traditional fuzzy set approaches to spatial relationship analysis.
- “Mining Temporal and Spatial Object Relations in Multimedia Contents”, by Tseng, Tseng, and Lin (2005 International Conference on Wireless Networks, Communications and Mobile Computing) — Discusses the extraction of temporal metadata from time-series of photos in multimedia databases.