Multi-faceted insight through interoperable visual information analysis paradigms

Hetzler, Beth; Whitney, Paul D.; Martucci, Leonardo A.; Thomas, Jim

doi:10.1109/infvis.1998.729570

Cited by 47 publications

(31 citation statements)

References 13 publications

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“…News titles are drawn in the corresponding visualization space allocated to relevant news topic. ThemeRiver [22] and ThemeView [23] can visualize a large collection of documents with keywords or themes. ThemeRiver and ThemeView can intuitively represent the distribution structure of themes and keywords in the collections.…”

Section: Bridging Interest Gapmentioning

confidence: 99%

Integrating multi-modal content analysis and hyperbolic visualization for large-scale news video retrieval and exploration

Luo

Fan

Satoh

et al. 2008

Signal Processing: Image Communication

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In this paper, we have developed a novel scheme to achieve more effective analysis, retrieval and exploration of large-scale news video collections by performing multi-modal video content analysis and synchronization. First, automatic keyword extraction is performed on news closed captions and audio channels to detect the most interesting news topics (i.e., keywords for news topic interpretation), and the associations among these news topics (i.e., contextual relationships among the news topics) are further determined according to their co-occurrence probabilities. Second, visual semantic items, such as human faces, text captions, video concepts, are extracted automatically by using our semantic video analysis techniques. The news topics are automatically synchronized with the most relevant visual semantic items. In addition, an interestingness weight is assigned for each news topic to characterize its importance. Finally, a novel hyperbolic visualization scheme is incorporated to visualize large-scale news topics according to their associations and interestingness. With a better global overview of large-scale news video collections, users can specify their queries more precisely and explore large-scale news video collections interactively. Our experiments on large-scale news video collections have provided very positive results.

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Section: Bridging Interest Gapmentioning

confidence: 99%

Integrating multi-modal content analysis and hyperbolic visualization for large-scale news video retrieval and exploration

Luo

Fan

Satoh

et al. 2008

Signal Processing: Image Communication

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“…More recently, Pacific Northwest National Laboratory in the USA has developed a suite of information visualisation tools, known as Spatial Paradigm for Information Retrieval and Exploration (SPIRE) (Hetzler et al, 1998a;Hetzler, Whitney, Martucci, & Thomas, 1998b). It is designed based on an intuitive spatial metaphor.…”

Section: Related Workmentioning

confidence: 99%

Visualising semantic spaces and author co-citation networks in digital libraries

Chen

1999

Information Processing & Management

237

149

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AbstractThis paper describes the development and application of visualisation techniques for users to access and explore information in a digital library effectively and intuitively. Salient semantic structures and citation patterns are extracted from several collections of documents, including the ACM SIGCHI conference proceedings (19951997) and ACM Hypertext conference proceedings (19871998), using Latent Semantic Indexing and Pathfinder Network Scaling. The unique spatial metaphor leads to a natural combination of search and navigation within the same semantic space in a 3-dimensional virtual world. Author co-citation patterns are visualised through a number of author co-citation maps in attempts to reveal the structure of the field of hypertext, including an overall co-citation map of 367 authors and three periodical maps. These maps highlight predominant research areas in the field. This approach provides a means of transcending the boundaries of collections of documents and visualising more profound patterns in terms of semantic structures and co-citation networks.

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“…Multi-faceted approach has also been applied to visual information analysis [7] and OAI-PHM [5]. Dakka and Ipirotis [6] propose an automatic way of constructing a multi-faceted browser of annotated images, program schedules, and web pages.…”

Section: Introductionmentioning

confidence: 99%

Towards multi-granularity multi-facet e-book retrieval

Huang

Zhou

Huang

2007

Proceedings of the 16th International Conference on World Wide Web

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There are more than one million digitalized books (i.e. e-books) so far in China-US Million Book Digital Library Project (MBP for short). It is thus important to design effective and powerful tools that enable users to easily search the required information and appropriately access knowledge in the digital library. Towards this end, currently most digital libraries simply use the traditional metadata-based or fulltext-based retrieval technologies on the e-book collection. However, there are at least two limitations of such e-book retrieval systems. (1) The granularity of retrieval results is either too big or too small, and consequently the middle granularities such as chapters and paragraphs are ignored in the traditional e-book retrieval systems. (2) The mass of retrieval results are usually ill-organized so that users often need to pay more efforts to obtain the required items. Therefore, with the many complex data in MBP, new search models and algorithms need to be developed that can take advantage of the particularities of e-books, access them appropriately, and provide results efficiently. To tackle this challenge, this paper introduces our multigranularity and multi-aspect e-book retrieval approach for MBP. Firstly, a Multi-granularity Multi-facet Knowledge Network (MMKN) model is proposed to represent content from different granularities (e.g., books, chapters, pages, paragraphs and words) and different facets (e.g., time, space, etc.) to support retrieval of relevant items from an e-book collection. Then we implement a novel e-book retrieval system, called IQuery, to extract facetrelated information from e-books at several granularities and then support multi-granularity e-book retrieval with more retrievable units and multi-facet navigation. Experiments were conducted to validate the efficiency and effectiveness of the proposed MMKN model, as well as the performance of IQuery. The results are encouraging, demonstrating that IQuery can provide powerful capabilities for e-book retrieval in MBP.

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Multi-faceted insight through interoperable visual information analysis paradigms

Cited by 47 publications

References 13 publications

Integrating multi-modal content analysis and hyperbolic visualization for large-scale news video retrieval and exploration

Integrating multi-modal content analysis and hyperbolic visualization for large-scale news video retrieval and exploration

Visualising semantic spaces and author co-citation networks in digital libraries

Towards multi-granularity multi-facet e-book retrieval

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