Estimating Proximity of Metric Ball Regions for Multimedia Data Indexing

2000 ◽  
pp. 71-81
Author(s):  
Giuseppe Amato ◽  
Fausto Rabitti ◽  
Pasquale Savino ◽  
Pavel Zezula
Keyword(s):  
Multimedia Data ◽  
Data Indexing

Multimedia Data Indexing

2011 ◽  
pp. 449-475
Author(s):  
Zhu Li ◽  
Yun Fu ◽  
Junsong Yuan ◽  
Ying Wu ◽  
Aggelos Katsaggelos ◽  
...  
Keyword(s):  
Data Management ◽  
Digital Media ◽  
Feature Space ◽  
Communication Technologies ◽  
Multimedia Data ◽  
Multimedia Computing ◽  
Space Management ◽  
Data Indexing ◽  
Data Structures And Algorithms ◽  
Multimedia Data Management

The rapid advances in multimedia capture, storage and communication technologies and capabilities have ushered an era of unprecedented growth of digital media content, in audio, visual, and synthetic forms, and both individually and commercially produced. How to manage these data to make them more accessible and searchable to users is a key challenge in current multimedia computing research. In this chapter, the authors discuss the problems and challenges in multimedia data management, and review the state of the art in data structures and algorithms for multimedia indexing, media feature space management and organization, and applications of these techniques in multimedia data management.

FUZZY MODE SIMILARITY MEASURE BASED ON MEASURE OF ILLUMINATION INSTABILITY

2008 ◽  
Vol 02 (02) ◽  
pp. 165-189
Author(s):  
XIAOMENG WU ◽  
WENLI ZHANG ◽  
SHUNSUKE KAMIJO ◽  
MASAO SAKAUCHI
Keyword(s):  
Similarity Measure ◽  
Feature Matching ◽  
Fuzzy Model ◽  
Feature Space ◽  
Multimedia Data ◽  
Information Theoretic ◽  
Data Indexing ◽  
Distribution Shape ◽  
Semantic Object ◽  
The Impact

Most color-based multimedia data indexing systems are sensitive to changes in the illumination environment. Some color-based systems coming into practical use are claimed to be limited to target videos with stable lighting. In this paper, a fuzzy mode similarity measure is proposed to adaptively calibrate the feature-matching criterion based on the measure of the illumination instability. The purpose of this approach is to retrieve the identical semantic object from the video and to alleviate the impact of lighting changes. An information-theoretic measure is first proposed to automatically measure the illumination instability of the video. A fuzzy model is then proposed to estimate and characterize the impact of illumination changes to the distribution shape of the semantic object in the low-level visual feature space. Experiments are shown to demonstrate how the proposed measure of the illumination instability, which takes the information distribution within an image into account, can reflect the instability more effectively than other simple and straightforward measures. Experiments also show how the retrieval performance can be improved by using the fuzzy mode similarity measure.

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