IPSM is an integrated probabilistic image semantic description multi-level model. This model includes input layer, feature layer, semantic layer, synthetical probability layer, probability propagation layer, and semantic mapping layer. Based on the model and characterizing of the image high-level semantic content according to Bayesian theory, SHM (semantic high-level retrieval algorithm) and SR...

With the popularity of the network and development of multimedia technology, the traditional information retrieval techniques do not meet the users’ demand. Recently, the content-based image retrieval has become the hot topic and the techniques of content-based image retrieval have been achieved great development. In this paper, the basic components like color, texture, shape and semantic image...

of thesis entitled: Statistical Machine Learning for Bridging the Semantic Gap in Image Retrieval Submitted by HOI, Chu Hong (Steven) With the explosive growth of multimedia data, more and more research attentions have been devoted to visual information retrieval. Image retrieval, particularly content-based image retrieval (CBIR), has been actively studied in multimedia information retrieval co...

Content-based image retrieval (CBIR) is the task of finding images in a database that are most similar to input query based on its visual characteristics. Several methods from state art (bag words, VLAD, etc.) or recent deep leaning try solve CBIR problem. In particular, learning new field and used for several vision applications including CBIR. But, even with increase performance algorithms, t...

in this paper, we discuss use of knowledge and knowledge base approach in content based image retrieval. Appling knowledge base method in content base image retrieval system, we target semantic gap between actual result and human perception as per query. Knowledge base technology has become an established technology. Different requirements count nowadays when developing knowledgebased solutions...

This paper confers the evolution of the various image retrieval techniques starting from Keyword based Image Retrieval (KBIR) to Ontology Based Image Retrieval. It addresses various outstanding issues in both past and present. The rapid advancement of image data demands continuing the research and development of Image Retrieval. The exploration in image retrieval has its basis in keyword based ...

Images / Videos are major source of content on the internet and the content is increasing rapidly due to the advancement in this area. Image analysis and retrieval is one of the active research field and researchers from the last decade have proposed many efficient approaches for the same. Semantic technologies like ontology offers promising approach to image retrieval as it tries to map the lo...