EXAMINING INFORMATION-GRAPHICS: EXTRACTING IMPORTANT INFORMATION FROM USER-WRITTEN QUERIES TO HELP DEVELOP AN EFFECTIVE RETRIEVAL SYSTEM
@inproceedings{Stagitis2013EXAMININGIE, title={EXAMINING INFORMATION-GRAPHICS: EXTRACTING IMPORTANT INFORMATION FROM USER-WRITTEN QUERIES TO HELP DEVELOP AN EFFECTIVE RETRIEVAL SYSTEM}, author={Matthew Stagitis}, year={2013} }
Information-graphics (non-pictorial graphics such as bar charts and line graphs that depict attributes of entities and relations among entities) have attracted increased attention from both the research and industrial worlds. While a lot of attention has been given in information retrieval research to retrieving textual documents, relatively little work has been done to retrieve information-graphics in response to user-written queries. Common image retrieval techniques, such as Image Meta…
Figures and Tables from this paper
References
SHOWING 1-10 OF 34 REFERENCES
A Content-Based Image Meta-Search Engine using Relevance Feedback
- Computer Science
- 1998
This paper describes MetaSEEk, a meta-search designed to intelligently select and interface with multiple on-line image search engines by ranking their performance for different classes of user queries, and compares it with the previous version of the system and a base line meta- search system.
Information graphics: an untapped resource for digital libraries
- Computer ScienceSIGIR
- 2006
The paper presents the Bayesian system for recognizing the primary message of one kind of information graphic (simple bar charts) and discusses the potential role of an information graphic's message in indexing graphics and summarizing multimodal documents.
Introduction to information retrieval
- Computer Science
- 2005
This groundbreaking new textbook teaches web-era information retrieval, including web search and the related areas of text classification and text clustering from basic concepts from a computer science perspective by three leading experts in the field.
A survey of content-based image retrieval with high-level semantics
- Computer SciencePattern Recognit.
- 2007
Recognizing the Intended Message of Line Graphs
- Computer ScienceDiagrams
- 2010
A system for recognizing the intended message of a line graph by segmenting the line graph into visually distinguishable trends which are used to suggest possible messages and using them as evidence in a Bayesian Network to identify the best hypothesis about the graphic's intended message.
Adapting the tf idf vector-space model to domain specific information retrieval
- Computer ScienceSAC '10
- 2010
Four extensions to the classical tf idf model are designed and implemented and it is demonstrated that the adapted vector-space models clearly outperform the baseline approach (tf idf) and that performance levels obtained even surpass those found in the Okapi model.
Content Based Image Retrieval Using Sketches
- Computer Science
- 2013
It is observed that the proposed method achieved low retrieval performance over these four image features for sketch based and color dominant images, which can be used as coarse level in hierarchical CBIR that reduces the database size from very large set to a small one.
A Survey on Information Retrieval, Text Categorization, and Web Crawling
- Computer ScienceArXiv
- 2012
This paper is a survey discussing Information Retrieval concepts, methods, and applications. It goes deep into the document and query modelling involved in IR systems, in addition to pre-processing…
Regularized Latent Semantic Indexing: A New Approach to Large-Scale Topic Modeling
- Computer ScienceTOIS
- 2013
This article introduces Regularized Latent Semantic Indexing (RLSI)---including a batch version and an online version, referred to as batch and online RLSI, respectively---to scale up topic modeling and proposes adopting ℓ1 norm on topics andℓ2 norm on document representations to create a model with compact and readable topics and which is useful for retrieval.