This paper proposes an efficient content-based image retrieval scheme based on Semantic Object Detection (SOD). The feature extraction process uses quantized discrete cosine transform (DCT) blocks where the retrieval of the query image is performed using a histogram-based similarity measure. SOD aims to reduce the size of the database from which the retrieval of similar images is conducted. The use of SOD has been shown to improve the retrieval performance and outperform related work in the literature.
|Title of host publication||2010 10th International Conference on Information Science, Signal Processing and their Applications, (ISSPA)|
|Subtitle of host publication||Kuala Lumpur, Malaysia, 10-13 May 2010|
|Editors||Institute of Electrical and Electronics Engineers|
|Place of Publication||Piscataway|
|Number of pages||4|
|Publication status||Published - 18 Oct 2010|