Book ChapterDOI
Info-Graphics Retrieval: A Multi-kernel Distance Based Hashing Scheme
Ritu Garg,Santanu Chaudhury +1 more
- pp 288-298
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TLDR
This paper presents a multi-modal document image retrieval framework by learning an optimal fusion of information from text and info-graphics regions and demonstrates the evaluation of the proposed concept on documents collected from various sources.Abstract:
Information retrieval research has shown significant improvement and provided techniques that retrieve documents in image or text form. However, retrieval of multi-modal documents has been given very less attention. We aim to build a system for retrieval of documents with embedded information graphics (Info-graphics). Info-graphics are images of bar charts and line graphs appearing with textual components in magazines, newspapers, and journals. In this paper, we present multi-modal document image retrieval framework by learning an optimal fusion of information from text and info-graphics regions. The evaluation of the proposed concept is demonstrated on documents collected from various sources such as magazines and journals.read more
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Image retrieval: Ideas, influences, and trends of the new age
TL;DR: Almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation are surveyed, and the spawning of related subfields are discussed, to discuss the adaptation of existing image retrieval techniques to build systems that can be useful in the real world.
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Content-based multimedia information retrieval: State of the art and challenges
TL;DR: This survey reviews 100+ recent articles on content-based multimedia information retrieval and discusses their role in current research directions which include browsing and search paradigms, user studies, affective computing, learning, semantic queries, new features and media types, high performance indexing, and evaluation techniques.