Haiming M Liu

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Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page. ABSTRACT Dissimilarity measurement plays a crucial role in content-based image retrieval. In this paper, 16 core(More)
Dissimilarity measurement plays a crucial role in content-based image retrieval, where data objects and queries are represented as vectors in high-dimensional content feature spaces. Given the large number of dissimilarity measures that exist in many fields, a crucial research question arises: Is there a dependency, if yes, what is the dependency, of a(More)
Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page. Abstract The goal of semantic search is to improve on traditional search methods by exploiting the semantic metadata.(More)
In order to bridge the " Semantic gap " , a number of relevance feedback (RF) mechanisms have been applied to content-based image retrieval (CBIR). However current RF techniques in most existing CBIR systems still lack satisfactory user interaction although some work has been done to improve the interaction as well as the search accuracy. In this paper, we(More)
This paper presents an interactive content-based image retrieval framework—uInteract, for delivering a novel four-factor user interaction model visually. The four-factor user interaction model is an interactive relevance feedback mechanism that we proposed, aiming to improve the interaction between users and the CBIR system and in turn users overall search(More)
The paper proposes an ISE (Information goal, Search strategy, Evaluation threshold) user classification model based on Information Foraging Theory for understanding user interaction with content-based image retrieval (CBIR). The proposed model is verified by a multiple linear regression analysis based on 50 users' interaction features collected from a(More)
We describe our experiments for the search task. Eight runs were submitted, all of them corresponding to the fully automated mode, without human interaction in the loop. The system was based on determining the distance from a query image to a pre-indexed collection of images to build a list of results ordered by similarity. We used four different metric(More)
This paper presents the work of the MMIS group at ImageCLEF 2008. The results for three tasks are presented: Visual Concept Detection Task (VCDT), ImageCLEF-photo and ImageCLEFwiki. We combine image annotations, CBIR, textual relevance and a geographic filter using our generic data fusion method. We also compare methods for BRF and clustering. Our top(More)
Chinese elites who were exempted from the Exclusion Act of 1882 became important figures in interethnic dialogue in the West. This article focuses on herbalists and missionaries, who were often able to cross boundaries of race, geography, and gender through their professions. In comparing the experiences of these elites in Los Angeles with their(More)