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Image representation is one of the key issues for large-scale image retrieval applications.
Aggregated vector-based encoding methods succeed in various image retrieval applications [3 5, 7 9].
This approach is typically used for networked data storage and retrieval applications.
It has interesting retrieval applications in domains such as sports and dance databases.
However, these methods are typically designed for classification and retrieval applications, rather than ranking.
The following three constraints should be considered in large-scale image retrieval applications: search accuracy, efficiency, and memory usage [8].
Similar(23)
A content-based audio retrieval application was presented to explain the basic blocks of audio classification.
A novel evaluationary color-texture descriptor namely Color Directional Local Quinary Pattern CDLQPP) is proposed for image retrieval application.
Our paper discusses the implementation and field evaluation of a context-aware mobile contact retrieval application.
This paper presents a novel evaluationary approach to extract color-texture features for image retrieval application namely Color Directional Local Quinary Pattern CDLQPP).
In this paper, the concepts of LQP and DLEP are integrated to propose the LQEP for image retrieval application.
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