An Algorithm for Index Multimedia Data (Video) using the Movement Oriented Method for Real-time Online Services

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📝 Original Info

  • Title: An Algorithm for Index Multimedia Data (Video) using the Movement Oriented Method for Real-time Online Services
  • ArXiv ID: 1003.3080
  • Date: 2010-03-17
  • Authors: Researchers from original ArXiv paper

📝 Abstract

Multimedia data is a form of data that can represent all types of data (images, sound and text). The use of multimedia data for the online application requires a more comprehensive database in the use of storage media, Sorting / indexing, search and system / data searching. This is necessary in order to help providers and users to access multimedia data online. Systems that use of the index image as a reference requires storage media so that the rules and require special expertise to obtain the desired file. Changes in multimedia data into a series of stories / storyboard in the form of a text will help reduce the consumption of media storage, system index / sorting and search applications. Oriented Movement is one method that is being developed to change the form of multimedia data into a storyboard.

💡 Deep Analysis

Deep Dive into An Algorithm for Index Multimedia Data (Video) using the Movement Oriented Method for Real-time Online Services.

Multimedia data is a form of data that can represent all types of data (images, sound and text). The use of multimedia data for the online application requires a more comprehensive database in the use of storage media, Sorting / indexing, search and system / data searching. This is necessary in order to help providers and users to access multimedia data online. Systems that use of the index image as a reference requires storage media so that the rules and require special expertise to obtain the desired file. Changes in multimedia data into a series of stories / storyboard in the form of a text will help reduce the consumption of media storage, system index / sorting and search applications. Oriented Movement is one method that is being developed to change the form of multimedia data into a storyboard.

📄 Full Content

An Algorithm for Index Multimedia Data (Video) using the Movement Oriented Method for Real-time Online Services Aries MUSLIM(1), A. Benny MUTIARA(2), Cut Maisyarah KARYATI(3), Purnawarman MUSA(4) 1,3,4 Etudient Doctoral Informatique Le2i - UMR CNRS 5158 Université de Bourgogne, 9 Av. Alain SAVARY, 21078 DIJON CEDEX 1,3Doctoral Student University of Gunadarma, Margonda Raya No. 100, Depok – Indonesia 2 Faculty Computer Science Gunadarma University, Margonda Raya No. 100, Depok – Indonesia email : aries.muslim,purnawarman.musa[@etu.u-bourgogne.fr]1,4, amuslim,amutiara,csyarah[@staff.gunadarma.ac.id]1,2,3

ABSTRACT Multimedia data is a form of data that can represent all types of data (images, sound and text). The use of multimedia data for the online application requires a more comprehensive database in the use of storage media, Sorting / indexing, search and system / data searching. This is necessary in order to help providers and users to access multimedia data online. Systems that use of the index image as a reference requires storage media so that the rules and require special expertise to obtain the desired file. Changes in multimedia data into a series of stories / storyboard in the form of a text will help reduce the consumption of media storage, system index / sorting and search applications. Oriented Movement is one method that is being developed to change the form of multimedia data into a storyboard. Index Term- Index Algorithm, Multimedia data, Movement Oriented.

1 INTRODUCTION In the decades when the use of digital media is growing rapidly, both in size and type of data not only on the text but also on the image, audio and video. Along with the increasing use of digital media, especially video, is required technical data management and retrieval of image effectively. Volume of digital video produced by the field of scientific, education, medical, industrial, and other applications available for its users increased dramatically as a result of the progress in sensor technology, the Internet and new digital video. Engineering tools, annotated video with text and image search using the text-based approach. Through the description text, image can be organized by semantic hierarchy for easy navigation and search based on standard Boolean queries. Because, the description text for a broad spectrum of video can not be obtained automatically, the system mostly text- based video retrieval requires annotation manually. Indeed, manual video annotation is a work difficult and expensive for a large video database, and is often a subjective, context- sensitive and is not perfect. (Long Fuhui, Chia-Hung, Hove, 2005).

There are two approaches that can be used to represent the video: (1) metadata-based and (2) Content-based. Techniques required for the retrieval (query) from the two approaches which can be divided into 3 namely: (1) Context-based, (2) Semantic-based and (3) Content-based.

Content-based video retrieval, a technique that uses cargo for visual image of a large-scale video database according to user needs, has developed rapidly since the 1990s. Content based image retrieval, using the cargo from a visual image or video such as color, shape, texture, and spatial layout to provide indexing and image or video. In the system content-based image retrieval is typically shown in Figure 1, to recover image / video, the user provides an example of the image / video retrieval as a reference. System and then change the image in this example to continuous feature vector. Similarities between the feature vector of an example query image in the database and then calculated and retrieval is done with the help of an index scheme. Index scheme provides a way to efficiently find the image database. Retrieval system has the latest feedback of the user to modify the retrieval process in order to produce retrieval results that are fuller of meaning and perception semantics.

Figure 1 System Diagram Content-Based Image / Video Retrieval

2 OVERVIEW AND REFERENCES Multimedia (video) have 3 data elements, namely, 1).The Image, 2). The voice 3). Text or character of a display to other combinations of these three elements ( Nalin Sharda, 2005). Multimedia system design is a very complex problem. Where is the system complexity is growing a lot of elements on each linier changes or nonlinear of the results presentation and interaction system. Design oriented movement / Movement Oriented Design is a new paradigm that will help manage the level of complexity in the design problem and search multimedia data (video) is so diverse (Nalin Sharda, 2005).

  Data / video retrieval on the number of video database 

with a very large system using content-based experience will problem Identify the time to give each frame of video files, which is a series of Identify textual each data object that will represent the video fram

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Reference

This content is AI-processed based on ArXiv data.

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