Image Similarity: From Syntax toWeak Semantics using Multimodal Features with Application to Multimedia Retrieval
Measuring image similarity is an important task for various multimedia applications. Similarity can be de.ned 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, de.ning and measuring similarity is a relatively straightforward task, but as soon as one starts dealing with the semantic similarity, the task becomes very dif.cult. 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.
image similarity weak semantics image retrieval
Jukka Perki(o) Antti Tuominen Petri Myllym(a)ki
Helsinki Institute for Information Technology Department of Computer Science P.O. Box 68, FI-00014 University of Helsinki Finland
国际会议
武汉
英文
213-219
2009-11-18（万方平台首次上网日期，不代表论文的发表时间）