The anatomy of a large-scale hypertextual Web search engine
WWW7 Proceedings of the seventh international conference on World Wide Web 7
Probabilistic latent semantic indexing
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Content-Based Image Retrieval in Astronomy
Information Retrieval
The Journal of Machine Learning Research
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Web Image Retrieval Re-Ranking with Relevance Model
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
Latent semantic analysis for an effective region-based video shot retrieval system
Proceedings of the 6th ACM SIGMM international workshop on Multimedia information retrieval
Benchmarking image and video retrieval: an overview
MIR '06 Proceedings of the 8th ACM international workshop on Multimedia information retrieval
Pagerank for product image search
Proceedings of the 17th international conference on World Wide Web
Content based image retrieval using unclean positive examples
IEEE Transactions on Image Processing
MINES '09 Proceedings of the 2009 International Conference on Multimedia Information Networking and Security - Volume 01
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Building a web-scale image similarity search system
Multimedia Tools and Applications
A perceptual similarity method by pairwise comparison in a medical image case
Machine Vision and Applications
Hidden semantic concept discovery in region based image retrieval
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
A comparison of score, rank and probability-based fusion methods for video shot retrieval
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
SLSFS'05 Proceedings of the 2005 international conference on Subspace, Latent Structure and Feature Selection
IEEE Transactions on Multimedia
Content-Based Image Retrieval by Feature Adaptation and Relevance Feedback
IEEE Transactions on Multimedia
IEEE Transactions on Information Theory
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Measuring image similarity is an important task for various multimedia applications. Similarity can be defined at two levels: at the syntactic (lower, context-free) level and at the semantic (higher, contextual) level. As long as one deals with the syntactic level, defining and measuring similarity is a relatively straightforward task, but as soon as one starts dealing with the semantic similarity, the task becomes very difficult. We examine the use of simple readily available syntactic image features combined with other multimodal features to derive a similarity measure that captures the weak semantics of an image. The weak semantics can be seen as an intermediate step between low level image understanding and full semantic image understanding. We investigate the use of single modalities alone and see how the combination of modalities affect the similarity measures. We also test the measure on multimedia retrieval task on a tv series data, even though the motivation is in understanding how different modalities relate to each other.