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Author: search.filters.author.Utenpattanant, AriyaSubject: search.filters.subject.Image retrieval

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    Image retrieval using haar color descriptor incorporating with pruning techniques
    (2007-07-03)
    Utenpattanant, Ariya
    ;
    Chitsobhuk, Orachat
    This paper presents a content-based image retrieval system using a compact color descriptor (63-bit binary Haar color descriptor) incorporating with pruning techniques. The objective of pruning is to look for the candidate images similar to the query image from the database and ignore the rest that are not likely to the query image. Several statistical pruning criteria are experimented in order to achieve faster retrieval time while preserve good retrieval performance. After the pruning process, the descriptors of the candidate images are then matched with that of the query. The most similar images will be retrieved and ordered according to their distance to the query. The proposed technique is evaluated based on different sizes of the database. The experimental results show good retrieval performance over a variety of image collections.
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    Color descriptor for image retrieval in wavelet domain
    (2006-01-01)
    Utenpattanant, Ariya
    ;
    Chitsobhuk, Orachat
    ;
    Khawne, Amnach
    This paper presents an approach to manage a large database using a compact color descriptor and a statistical method for accurately pruning the database. A compact color descriptor adopted in the proposed content-based image retrieval system is 63-bit binary Haar color histogram, which is very compact and can be effectively used for fast image search. In addition to fast searching using this compact descriptor, we further improve retrieval time by applying pruning technique, which looks for the candidate images similar to the query image from the database and ignore the rest that are not likely to the query image. The descriptors of the candidate images are then matched with that of the query. The most similar images will be retrieved and ordered according to their distance to the query. The proposed retrieval system can efficiently retrieve the most similar images from the database while can help reducing the retrieval time and the storage space.