Compression Impact on LIRE-based CBIR of Colonoscopy Data
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In a large experimental study, the impact of lossy image compression standards on LIRE-based CBIR in different compression scenarios is assessed. Image retrieval is conducted using NBI-colonoscopic imagery with the aim of polyp dignity assessment. Results clearly indicate that (1) JPEG2000 compression does hardly impact retrieval results, (2) it is important to compress both query and retrieval data in case of JPEG and JPEG XR, and (3) some LIRE desciptors deliver good retrieval results on these data which calls for further investigations.
KeywordsCompression Ratio Image Retrieval Local Binary Pattern Query Image Retrieval Result
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- 2.Lux M. LIRE: open source image retrieval in java. Proc ACM Int Conf Multimedia. 2013; p. 843–6.Google Scholar
- 3.Chao J, Al-Nuaimi A, Schroth G, et al. Performance comparison of various feature detector-descriptor combinations for content-based image retrieval with JPEGencoded query images. Proc IEEE Workshop Multimedia Signal Process (MMSP). 2013.Google Scholar