Hiromitsu Hama

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We propose a model of hierarchical attention focusing and its application to a display method for small mobile devices. First we point out that the visual resolution is low when the attended area is broad and is high when the attended area is narrow. Then we propose a model to obtain saliency which expresses tendency of attracting human attention. Combining(More)
In this paper we propose a novel optimal crawling strategy for next-generation multimedia search engines. We consider here a Web crawl as a two-dimensional (2D) random walker on a graph whose vertices are the Web pages and whose edges are the hyperlinks. The proposed crawler is a two-part scheme optimizing the crawling process in such a way that the average(More)
In this paper, we propose a new method for detecting tire-road contact points and estimating the position of a vehicle on a road taking the distortion in a circular fisheye image into consideration. In our proposed method, we use the distortional parameter of two concentric circles composed of the inner wheel and the outer tire by considering projection(More)
We propose a method for object-based retrieval in image and video databases. In doing so, both color and shape information is taken into account to enrich the querying capabilities for object-based retrieval. The morphological operations are performed on each uniform color region. We use three kinds of histograms: color histogram, distance histogram, and(More)
Today video surveillance systems are widely used in public spaces, such as train stations or airports, to enhance security. In order to observe large and complex facilities a huge amount of cameras is required. These create a massive amount of data to be analyzed. It is therefore crucial to support human security staff with automatic surveillance(More)
In contrast with the current search engines that essentially do page-level ranking and searching, we are exploring a new paradigm to enable Web search at image level by introducing a new concept of Popularity-based Rank (PR). This paper introduces PR, a content-level ranking and searching model for multimedia retrieval. Specifically, we establish a PR(More)
In this paper, we explore and examine a new novel approach to image ranking systems based on some special types of Markov chain along with new concepts of popularity and relevancy measures for image database. To be specific, this approach introduces a family of special Markov chain models in which serial correlations are explicitly involved so that we can(More)