Efficient and effective JPEG compressed domain image retrieval
Available Online November 2013.
- https://doi.org/10.2991/icmt-13.2013.4How to use a DOI?
- content-based image retrieval, image databases, compressed domain retrieval, JPEG, discrete cosine transform
- Content-based image retrieval(CBIR) has been an active research area for more than two decades. However, while almost all images are stored in compressed form, the vast majority of CBIR algorithms operate in the (uncompressed) pixel do-main. This not only leads to a computational overhead for feature calculation, it can also be demonstrated that image compression has a negative effect on retrieval accu-racy, especially at extreme compression rates. In this paper,we present efficient and effective CBIR techniques that operate directly in the compressed domain, hence not requiring full decompression for feature extraction. In particular, we focus on the JPEG domain since most images are compressed using JPEG. We show how CBIR features can be extracted from DCT coefficients, from differentially coded DC data, and from tuned information contained in the JPEG headers.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Schaefer Gerald PY - 2013/11 DA - 2013/11 TI - Efficient and effective JPEG compressed domain image retrieval BT - 3rd International Conference on Multimedia Technology(ICMT-13) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/icmt-13.2013.4 DO - https://doi.org/10.2991/icmt-13.2013.4 ID - Gerald2013/11 ER -