PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Image Similarity: From Syntax to Weak Semantics using Multimodal Features with Application to Multimedia Retrieval
Jukka Perkiö, Antti Tuominen and Petri Myllymäki
In: 2009 International Conference on Multimedia Information NEtworking and Security, 18-20 Nov 2009, Wuhan, China.

Abstract

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 very simple syntactic image features combined with other multimodal features to derive a similarity measure that captures the weak semantics of an image. We test and further use this similarity measure to do video retrieval.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Machine Vision
Natural Language Processing
ID Code:5978
Deposited By:Jukka Perkiö
Deposited On:08 March 2010