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Multimedia database

About: Multimedia database is a research topic. Over the lifetime, 1404 publications have been published within this topic receiving 19856 citations. The topic is also known as: Multimedia database & MMDB.


Papers
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Journal ArticleDOI
TL;DR: This chapter discusses how to prepare video and related information for entry into vPrism ™ , how to link transcriptions and annotations to specific time points in the video, how to define and code categories of events that occur in the photojournalism, and how to export data for statistical analysis.

24 citations

Proceedings ArticleDOI
24 Oct 1999
TL;DR: A robust image retrieval system consisting of semantic classification, composite indexing and interactive query is proposed under this framework, and the semantics of feature descriptor and the relationship between feature descriptors and image contents are explored.
Abstract: This paper investigates the use of image content analysis and image clustering techniques to organize an image database and to determine low-level features and semantic meanings for indexing and retrieval. A robust image retrieval system consisting of semantic classification, composite indexing and interactive query is proposed under this framework. In this system, a large image collection with great varieties is categorized into different classes according to distinct characteristics. The semantics of feature descriptors and the relationship between feature descriptors and image contents are then explored. Finally, a composite indexing and interactive retrieval procedure using low-level features and high-level understanding is developed to achieve a robust image query performance.

24 citations

Journal Article
TL;DR: In this article, an approach for integrating multimedia data with a geographic information system (GIS) database was developed for an area corresponding to the U.S. Geological Survey (USGS) Long Pine Key and Pa-Hay-Okee Lookout Tower 1 :24,000scale topographic quadrangles in Everglades National Park.
Abstract: An approach for integrating multimedia data with a geographic information system (GIS) database was developed for an area corresponding to the U.S. Geological Survey (USGS) Long Pine Key and Pa-Hay-Okee Lookout Tower 1 :24,000scale topographic quadrangles in Everglades National Park. The multimedia database contains descriptive text, ground photographs, digital video clips, and audio segments highlighting the characteristics of Everglades plant communities, individual species, and invasive exotics, as well as plant-anima1 interactions, hurricane damage, and post-fire vegetation succession. It is linked to a GIS database that includes detailed vegetation maps, SPOT panchromatic imagery, and scanned National Aerial Photography Program (NAPP) 1:40,000-scale color-infrared (CIR) aerial photographs. The integrated multimedia approach was implemented in two steps: (1) an interactive multimedia system designed to manipulate multimedia information such as hypertext, hyperlinks, scanned photographs, digital video, and sound was developed in a Microsoft Visual Basic programming environment; and (2) a CIS application program to manipulate spatial data was constructed using Visual Basic and Environmental Systems Research Institute (ESRI) Mapobjects software. The interactive multimedia approach provides a unique way to represent geographic features and associated information on interrelationships between flora, fauna, and human activities in Everglades National Park.

24 citations

Proceedings ArticleDOI
29 May 2000
TL;DR: This paper describes a method of content indexing for dynamic multimedia databases using binary signatures of the audio signals to serve as an index of the associated audio objects assisting their retrieval.
Abstract: This paper describes a method of content indexing for dynamic multimedia databases using binary signatures of the audio signals. The analysis scheme focuses on the audio objects of the multimedia environment, extracts semi-stationary audio segments and analyzes their key features, These are: the fundamental frequency F0, the first three formants F1, F2, and F3, the associated phoneme and speaker identification information. Binary signatures are associated with the audio segments which they describe. For each audio segment these key features are encoded within the signature and information retrieval can be performed on the multimedia database querying the corresponding signatures of the streamed audio. The signature structure serves as an index of the associated audio objects assisting their retrieval.

23 citations

Proceedings ArticleDOI
04 Nov 2002
TL;DR: The experimental results show that the decision tree method is promising for video genre recognition.
Abstract: Automatic digital video classification is emerging as an important problem in the fields of video analysis and multimedia database. In this paper the decision tree method is used for automatic video classification. Video clips are first segmented into shots, then features of the video clips are generated, and a video features database is created at the same time. After that, the decision tree method is used to classify the videos as different genres and a set of decision rules are produced. The discovered decision rules are used to predicate the genre of a new video. The experimental results show that the decision tree method is promising for video genre recognition.

23 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
20232
20224
202113
20206
201911
201824