Feb 4, 2017 · In this paper, we address the problem of visual instance mining, which is to automatically discover frequently appearing visual instances ...
Apr 23, 2024 · In this paper, we address the problem of visual instance mining, which is to automatically discover frequently appearing visual instances ...
In this paper, we address the problem of visual instance mining, which is to automatically discover frequently appearing visual instances from a large ...
In this paper we address the problem of visual instance mining, which is to automat- ically discover frequently appearing visual instances from a large ...
Bibliographic details on Visual instance mining from the graph perspective.
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We propose a scalable mining method by leveraging the graph structure with images as vertices. Different from most existing approaches that focus on either ...
Visual instances are the basic re-occurring information in the visual world. In this paper we address the problem of visual instance mining. Specifi-.
The aim of this thesis is to design a tool that performs visual instance search mining for news video summarization.
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Figure 6.18 shows the logical view of a small example net- work. Figure 6.18 depicts the communication links of the network, A -F and. F -G are the only ...
In this study, we formulate the concept of “mining maximal-size frequent subgraphs” in the challenging domain of visual data (images and videos).
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