The Continuing Reinvention of Content-Based Retrieval: Multimedia Is Not Dead

@article{Grosky2017TheCR,
  title={The Continuing Reinvention of Content-Based Retrieval: Multimedia Is Not Dead},
  author={William I. Grosky and Terry Ruas},
  journal={IEEE Multim.},
  year={2017},
  volume={24},
  pages={6-11}
}
In reviewing how content-based retrieval has evolved over the years, the authors argue that the next grand challenge for the multimedia community will be understanding and formally modeling the flow of life around us, over many modalities and scales. This will require supplementing generic signal/sensor-based retrieval with syntactical, semantic, and pragmatics-based approaches. To determine whether a data-driven approach supports their observations regarding the evolution of content-based… 

Figures from this paper

Keyword Extraction Through Contextual Semantic Analysis of Documents

TLDR
Two alternative approaches to extract concept-terms based on semantic features embedded in textual documents extracted from Wikipedia are explored, one of which extends the concept of Word Sense Disambiguation (WSD) and the second enhances the theory behind traditional lexical chains.

Multi-sense embeddings through a word sense disambiguation process

PitchKeywordExtractor: Prosody-based automatic keyword extraction for speech content

TLDR
P PitchKeywordExtractor — an algorithm with its software prototype for prosody-based automatic keyword extraction in speech content that operates together with a third-party automatic speech recognition system, handles speech prosody by a pitch detection algorithm and locates the keywords using pitch contour cross-correlation with four tone units taken from Brazil discourse intonation model.

Science, technology and innovation exploration in biophotonics through a scientometric approach

  • Terry RuasLuciana PereiraW. Grosky
  • Business
    2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM)
  • 2017
TLDR
The methodology proposed here can be used to construct solid indicators in science, technology and innovation as a support for decision making in public policies and contributes not only as a methodological guidance for scientometric studies, but also as a discussion of how Scientometric approaches can be applied in practice.

Semantic Feature Extraction Using Multi-Sense Embeddings and Lexical Chains

The relationship between words in a sentence often tell us more about the underlying semantic content of a document than its actual words individually. Natural language understanding has seen an

Semantic Feature Structure Extraction From Documents Based on Extended Lexical Chains

TLDR
This paper explores the degree of cohesion among a document’s words using lexical chains as a semantic representation of its meaning using WordNet as a lexical database and develops a text document representation that can be used for semantic document retrieval.

References

SHOWING 1-10 OF 12 REFERENCES

Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining

TLDR
A systematic introduction to a wide range of statistical and heuristic approaches to management and analysis of text data have been developed over the past few decades, with an emphasis on covering the most useful knowledge and skills required to build a variety of practically useful text information systems.

Image Database Management

NSF workshop on visual information management systems: workshop report

  • R. Jain
  • Computer Science
    Electronic Imaging
  • 1993
TLDR
Visual information management systems encompass not only databases, but aspects of image processing and image understanding, very sophisticated interfaces, knowledge-based systems, compression and decompression of images, and memory management and organization issues start becoming much more serious than in the largest alphanumeric databases.

Scientometrics: State-of-the-art

TLDR
It is argued that the core research activities of scientometries fall in four interrelated areas: science and technology indicators, information systems onscience and technology, the interaction with colleague-scientists, and cognitive as well as socioorganisational structures in science andtechnology.

Suitability of Smartphone Inertial Sensors for Real-Time Biofeedback Applications

TLDR
Study of deterministic and random errors of smartphone accelerometers and gyroscopes focuses on their biases, and suggests several bias compensation options that are suitable for various examples of use in real-time biofeedback applications.

The Structure of Scientific Revolutions 2nd edition

Multimedia Is Dead

Uncluttering the Web Maze

Grosky is professor and chair of the Department of Computer and Information Science at the University of MichiganDearborn

  • 1997