A. Desai Narasimhalu and Stavros Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6--8, October 1991.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....1.1 Problem definition Multimedia System: A system that can store and retrieve objects documents with text, voice, images, animation, slides show etc. voice Query by content: ffl Efficient and ffl complete (no false dismissals) 2 1. 2 Applications ffl education, entertainment [NC91] ffl medical imaging [ACF 94] ffl scientific databases [Vas93] ffl archives, libraries [Nof86] TSW 85] Har94] ffl office automation [MRT91] electronic encyclopedias [ST84] GT87] electronic books [YMD85] 3 1.3 Sample queries primary key Find the employee record with emp#= ....

A. Desai Narasimhalu and Stavros Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6--8, October 1991.

....Data Mining, Similar Time Sequences, Similarity Join 1 Introduction Many emerging data mining applications require efficient processing of similarity joins on highdimensional points. Examples include applications in time series databases[AFS93, ALSS95] multimedia databases [Jag94, NBE 93, NC91] medical databases [ACF 93, TBS90] and scientific Korea Advanced Institute of Science and Technology y Advanced Information Technology Research Center 1 databases[Vas93] Some typical queries in these applications include: 1) discover all stocks with similar price movements; 2) find ....

A Desai Narasimhalu and Stavros Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6--8, Oct 1991.

....and the emergence of various types of storage media, both processor speeds and storage capacity continue to improve without a proportionate increase in the prices. It is expected that this trend will stimulate 2 further research in picture databases and unfold several new application areas [128]. Also, images are produced at an ever increasing rate ranging from satellites, scientic experiments, diagnostic medical imaging, to home entertainment. This trend will further accelerate with the availability of information superhighway in the near future. NSF Workshop on Visual Information ....

....the diverse nature of picture database application areas. Diverse Nature of Picture Database Application Areas The application areas that consider picture retrieval as a primary activity are both numerous and disparate. Picture retrieval plays a prominent role in Multimedia Information Systems [128, 125, 130, 142, 92, 62, 55], Spatial Databases [75, 76, 123, 148] Pictorial Information Systems [30, 31, 33] Image Database Systems [66, 65, 89, 158] and Picture Archival and Communication System [105, 19] The application areas for these systems include but not limited to Medical Imaging [155] Medical Information ....

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A. Narasimhalu and S. Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6-8, 1991. Guest Editors' Introduction.

....in QBIC, when we explore the impact of multidimensional indexing, we use the R 3 tree as an underlying indexing method. 3 Requirements and proposed solution 3. 1 Characteristics of Image and Multimedia databases Crucial characteristics of image, and in general, multimedia databases (e.g. see [33] [15] when compared to traditional, relational databases, include: 1. The size of each data item is large (color images are of the order of a few MBytes; one hour of MPEG compressed VCR quality video is on the order of 1 GByte) This imposes severe requirements not only on storage, but also on ....

A. Desai Narasimhalu and Stavros Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6--8, October 1991.

....are computer generated environments with realistic appearance, behavior and interaction techniques. The emerging discipline of scientific visualization [19, 20, 21] employs computer graphics techniques to render results of scientific computations in the form of visual images. Multimedia computing [22, 23, 24, 25, 26, 27, 28] aims at integrating live video and speech input into computing environments. One consequence of such an integration is the blurring of the the dividing line between computers and consumer electronics devices. Data compression standards are being developed to support transfer of image data over ....

A. Narasimhalu and S. Christodoulakis, "Multimedia information systems: The unfolding of a reality," IEEE Computer, vol. 24, pp. 6--8, October 1991.

.... of information [1] 2] In most cases, information technology is concerned with heterogeneous data of different types (static and dynamic) Existing web development software supports efficient solutions for the integration of multimedia interfaces and database support with impressive results [3]. The paper presents the architecture of a web based information system that incorporates a multimedia interface and a database which stores multimedia objects. The database is based on an object oriented approach containing mainly dynamic information while static information is manipulated by ....

A.D. Narasimhalu, S. Christodoulakis., "Multimedia information systems: the Unfolding of the Reality", IEEE Computer, Oct. 1991,pp 6-8.

....with similar colors, shapes or texture [NBE 93] There we used the Euclidean distance between appropriately selected feature vectors (color attributes, moments of inertia for shape, etc. Search by content is highly desirable in multimedia databases, with audio (voice, music) video etc. NC91] For example, users might want to retrieve, music scores, or video clips that are similar to a target music score or video clip. Once the similarity (or dis similarity) function has been determined, our proposed method can be immediately applied. ffl Medical databases, where 1 d objects (e.g. ....

A. Desai Narasimhalu and Stavros Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6--8, October 1991.

....find images with similar colors, shapes or texture [35] There we used the Euclidean distance between appropriately selected feature vectors (color attributes, moments of inertia for shape, etc. Search by content is highly desirable in multimedia databases, with audio (voice, music) video etc. [33]. For example, users might want to retrieve, music scores, or video clips that are similar to a target music score or video clip. Once the similarity (or dis similarity) function has been determined, our proposed method can be immediately applied. ffl Medical databases, where 1 d objects (e.g. ....

A. Desai Narasimhalu and Stavros Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6--8, October 1991.

....match the performance of the ffl kd tree. 1 Introduction Many emerging data mining applications require efficient processing of proximity (similarity) joins on high dimensional points. Examples include applications in time series databases[AFS93, ALSS95] multimedia databases [Jag94, NBE 93, NC91] medical databases [ACF 93, TBS90] and scientific databases[Vas93] Some typical queries in these applications include: 1) discover all stocks with similar price movements; 2) find all pairs of similar images; 3) retrieve music scores similar to a target music score. These queries are ....

A Desai Narasimhalu and Stavros Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6--8, Oct 1991.

....images, time sequences, video clips etc. Specific applications include medical image databases in 2 d or 3 d (e.g. MRI brain scans[4] financial, marketing and production time sequences (e.g. stock market time sequences [24] scientific databases with vector fields [9] audio and video databases [26], DNA genome databases [3] etc. In such databases, typical queries would be find companies whose stock prices move similarly , or find On leave at AT T Bell Laboratories, Murray Hill, NJ; His research was partially funded by the National Science Foundation under Grants IRI 9205273 and ....

A. Desai Narasimhalu and Stavros Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6--8, October 1991.

....data can be assigned priority over regular data, and the developed priority protocols can be used to deliver multimedia data over the Ethernet in a timely manner. Key Words: Ethernet, multimedia traffic, priority. 1 Introduction and Motivations Multimedia is becoming important in several domains [1, 2]. By allowing the flexibility of presenting more than one type of information, such as voice, music, still and motion video, in addition to normal text, multimedia computing is entering into office space, businesses, and other professional, non academic environments. There are many potential uses ....

A.D. Narasimhalu and S. Christodoulakis. Multimedia Information Systems: The Unfolding Reality (Guest Editors' Introduction). Computer, 24(10):6 -- 8, October 1991.

....financial databases with stock price movements. The goal is to aid forecasting, by examining similar patterns that may have appeared in the past. In [1] we used as features the co efficients of the Discrete Fourier Transform (DFT) ffl Multimedia databases, with audio (voice, music) video etc. [25]. Users might want to retrieve, e.g. similar music scores, or video clips. ffl DNA databases where there is a large collection of strings from a four letter alphabet (A,G,C,T) a new string has to be matched against the old strings, to find the best candidates. The BLAST algorithm [2] uses ....

A. Desai Narasimhalu and Stavros Christodoulakis. Multimedia information systems: the unfolding of a reality. IEEE Computer, 24(10):6--8, October 1991.

....data can be assigned priority over regular data, and the priority protocols can be used to deliver multimedia data over the Ethernet in a timely manner. Key Words: Ethernet, multimedia traffic, priority. 1 Introduction and Motivations Multimedia is becoming important in several domains [1, 2]. While the types of multimedia applications are diverse, they share a common underlying trait: The multimedia data that is being exchanged from nodeto node is real time in nature and needs to be delivered in a timely fashion. Multimedia data is isochronous, that is, it is sensitive to delays ....

A.D. Narasimhalu and S. Christodoulakis. Multimedia Information Systems: The Unfolding Reality (Guest Editors' Introduction). Computer, 24(10):6 -- 8, October 1991.

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A.D. Narasimhalu and S. Christodoulakis "Multimedia Information Systems: The Unfolding of a Reality", IEEE Computer, 24, 10, pp. 6-8, Oct. 1991.

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