Notes On The 's On Multimedia Mining

2618 Words Dec 15th, 2014 11 Pages
.ISSUES ON MULTIMEDIA MINING

ABSTRACT

Data mining has proved to popular for extracting interesting information for multimedia data sets, such as audio, video, images, graphics, speech, text and combination of several types of data set. Multimedia data are unstructured data or semi-structured data. These data are stored in multimedia database, multimedia mining find information from large multimedia database system, using multimedia techniques and powerful tools.
KEYWORDS: Data Mining, Multimedia Mining, Clustering, Classification.

1. INTRODUCTION

Multimedia data mining is a subfield of data mining that using to find interesting information of implicit knowledge. Multimedia data are classified into five types, there are (i) text
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Multimedia mining refers to analysis or large amount of multimedia information in order to extracting patterns or statistical relationships.

Multimedia data mining Classification

2. BACKGROUND OF MULTIMEDIA DATA MINING
Since 1960s the research in the field of multimedia has initiated for combining different multimedia data into one application when text and images were combined in a document. During the research and development process of video synchronization of audio and animation was completed using a timeline to specify when they should be played. The difficulties of multimedia data capture, storage, transmission, and presentation have been explored in the middle of 1990s where the multimedia standards MPEG-4, X3D, MPEG-7, and MX have continued to grow. These are reformed and can clearly handle sound, images, videos, and 3-D (three-dimension) objects that combined by events, synchronization, scripting languages and can describe the content of any multimedia object. For multimedia distribution and database applications different algorithms want to be used. Such a database can be queried, for example, with the SQL multimedia and application packages known as SQL/MM.

3. ARCHITECTURE FOR MULTIMEDIA DATA MINING

3.1 STRUCTURED vs. UN-STRUCTURED DATA:
Structured Data: Data resides fixed field within a record or file is called structured data. Structured

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