System profiles in content-based image indexing and retrieval

In this paper, a novel study on system profiles and adaptation of parameters for end-users of content-based indexingandretrieval(CBIR)applicationsarepresented.The main objective of the study is improving the overall CBIR applicationperformanceindifferenthardwareplatformshaving different technical capabilities and conditions. We define CBIR system profiles in terms of hardware and system platform attributes and propose CBIR parameters for each profile. Hence, the study consists of two main parts: system profiling and adaptation of indexing and retrieval parameters foreachprofile.TheproposedCBIRparametersareappropriate configurations for optimal CBIR use on every platform. The proposed parameters for each system profile are assessed over a large set of experiments. Experimental studies show that the proposed parameters for each system profile have satisfactory semantic retrieval performance, with reduced computational complexity and storage space requirement. 45 to 78% improvement is ach...

• Type: Journal
• Year: 2010
• Where: SIVP
• Authors: Esin Guldogan, Moncef Gabbouj
• Keywords: CBIR, Data Mining, Parameters, Profiles, SIVP 2010