In the current decade, we are witnessing a great interest in Content Based Image Retrieval "CBIR" together with a wealth of promising technologies, paved for a large number of new mechanisms and systems. In terms of mechanisms, a strong trend towards the employment of diverse Relevance Feedback (RF) approaches in CBIR systems to capture image(s) of interest has emerged. However, the need to select a particular technique in a given application domain depends on the nature of images in the collection at hand. So our paper mainly reviews and compares different approaches of CBIR using RF. Its ultimate goal is to present information about image database aspects and image features setting so as to support the selection of the appropriate CBIR with RF Techniques.
الكلمات المفتاحية :
Content Based Image Retrieval
Relevance Feedback
Image database
Image features
K. Belattar and S. Mostefai. 2013. CBIR with RF: which Technique for which Image. In Proceedings of the 3rd. International Symposium ISKO-Maghreb'13, Marrakech, Morocco (November 2013), IEEE, 1-7. DOI: https://doi.org/10.1109/ISKO-Maghreb.2013.6728129.
APA :
Belattar, K. & Mostefai, S. (2013, November). CBIR with RF: which Technique for which Image. In Proceedings of the 3rd. International Symposium ISKO-Maghreb'13, Marrakech, Morocco, IEEE, 1-7. DOI: https://doi.org/10.1109/ISKO-Maghreb.2013.6728129
IEEE :
K. Belattar and S. Mostefai, "CBIR with RF: which Technique for which Image". In Proceedings of the 3rd. International Symposium ISKO-Maghreb'13, Marrakech, Morocco, IEEE, pp. 1-7, November, 2013. DOI: https://doi.org/10.1109/ISKO-Maghreb.2013.6728129.
BibTeX :
@inproceedings{misc-lab-241, author = {Belattar, Khadidja and Mostefai, Sihem}, title = {CBIR with RF: which Technique for which Image}, booktitle = {3rd. International Symposium ISKO-Maghreb'13}, location = {Marrakech, Morocco}, isbn = {978-1-4799-3392-1}, pages = {1--7}, publisher = {IEEE}, year = {2013}, month = {November}, doi = {10.1109/ISKO-Maghreb.2013.6728129}, url = {https://ieeexplore.ieee.org/document/6728129}, keywords = {Content Based Image Retrieval, Relevance Feedback, image database, image features} }
RIS :
TY - CONF TI - CBIR with RF: which Technique for which Image AU - K. Belattar AU - S. Mostefai PY - 2013 BT - 3rd. International Symposium ISKO-Maghreb'13, Marrakech, Morocco SN - 978-1-4799-3392-1 SP - 1 EP - 7 PB - IEEE AB - In the current decade, we are witnessing a great interest in Content Based Image Retrieval "CBIR" together with a wealth of promising technologies, paved for a large number of new mechanisms and systems. In terms of mechanisms, a strong trend towards the employment of diverse Relevance Feedback (RF) approaches in CBIR systems to capture image(s) of interest has emerged. However, the need to select a particular technique in a given application domain depends on the nature of images in the collection at hand. So our paper mainly reviews and compares different approaches of CBIR using RF. Its ultimate goal is to present information about image database aspects and image features setting so as to support the selection of the appropriate CBIR with RF Techniques. KW - Content Based Image Retrieval KW - Relevance Feedback KW - image database KW - image features DO - 10.1109/ISKO-Maghreb.2013.6728129 UR - https://ieeexplore.ieee.org/document/6728129 ID - misc-lab-241 ER -