Image categorization could be treated as an effective solution to enable keyword-based image retrieval. In this paper, we propose a novel image categorization approach by learnin...
In state-of-the-art image retrieval systems, an image is
represented by a bag of visual words obtained by quantizing
high-dimensional local image descriptors, and scalable
schem...
Zhong Wu (Tsinghua University), Qifa Ke (Microsoft...
This paper adopts the premise that the ‘semantic gap' is an incompletely surveyed feature in the landscape of visual image retrieval, and proposes a framework within which t...
Image object retrieval – locating image occurrences of specific objects in large-scale image collections – is essential for manipulating the sheer amount of photos. Current s...
Image collections are getting larger and larger. To access those collections, systems for managing, searching, and browsing are necessary. Visualization plays an essential role in...