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The problem of information overload can be solved by the application of information filtering to the huge amount of data. Information on radio and television can be filtered using speech recognition of the audio track. A prototype system using closed captions has been developed on top of the INQUERY information access system. The challange of integrating speech recognition and information retrieval...
In this paper we present a complete system for semantic and syntactic annotation, browsing and search of multimedia data, that is based on a service oriented architecture, with web-based interfaces developed following the Rich Internet Application paradigm.
In this paper content based image retrieval of x-ray images using fusion of spectral & shape features is discussed. Texture analysis and shape description are two of the key parts of image content description. Most of the existing descriptors are usually either application dependent or non-robust so we have used spectral measure for content analysis and Fourier descriptors for shape analysis....
The author discusses the development of new Information Communications Technologies (ICT) in the areas of e-Learning, e-Health, e-Government, e-Journalism, etc. The current Web 2.0 combined with the Semantic Web technologies provide support to creation of social networks, content retrieval and analysis, which creates foundation for the future fully automated cyberspace.
The growing usage of mobile devices has led to proliferation of many mobile applications. A growing trend in mobile applications is centered on mobile landmark recognition. It is a new mobile application that recognizes a captured landmark using the mobile device and retrieves related information. This paper will present a survey on mobile landmark recognition for information retrieval. A general...
Detection of key sounds, such as applause, laugh, music, environmental noise, etc., is one of the challenges in intelligent management of multimedia information and content understanding. In this paper, we report progress in development of a reference content-based audio classification algorithm that is based on a conventional and widely accepted approach, namely signal parameterization by MFCC followed...
Accurate grouping of video shots could lead to semantic indexing of video segments for content analysis and retrieval. This paper introduces a novel cluster analysis which, depending both on the video genre and the specific user needs, produces a hierarchical representation of the video only on a reduced number of significant summaries. An outlook on a possible implementation strategy is then suggested...
In recent years digital cameras have seen an enormous rise in popularity, leading to a huge increase in the quantity of digital photos being taken. This brings with it the challenge of organising these large collections. The MediAssist project uses date/time and GPS location for the organisation of personal collections. However, this context information is not always sufficient to support retrieval...
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