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.

Finding Pictures in Context

Abstract: This research explores the interaction of textual and photographic information in multimodal documents. The WWW may be viewed as the ultimate, large-scale, dynamically changing, multimedia database. Finding useful information from the WWW without encountering numerous false positives (the current case) poses a challenge to multimedia information retrieval systems (MMIR). We exploit the fact that images do not appear in isolation, but rather with accompanying, collateral text. Taken independently, existing techniques for picture retrieval using (i) collateral text-based and (ii) image-based methods have several limitations. Text-based methods, while very powerful in matching context, do not have access to image content. Image-based methods compute general similarity between images and provide limited semantics. Our research focuses on improving precision and recall in a MMIR system by interactively combining text processing with image processing (IP) in both the indexing and retrieval phases. A picture search engine is demonstrated as an application.

Prototype multimedia database system for registration of emergency situations

Abstract: In this paper a prototype emergency services system is presented, equipped with a multimedia database registering and storing relevant emergency situations in a semi automatic way. In this paper we assume that this database is created exclusively with sound and linguistic material won from emergency telephone calls. The presented system enables conducting speaker recognition experiments. Sources of data, metadata generation, architecture description, searching for results, and database implementation are comprised.

Query by Shape for Image Retrieval from Multimedia Databases

Abstract: Efficient methods of image retrieval is one of the most important challenges in the scope of the management of large multimedia databases. Existing methods for querying, based on a textual description e.g. keywords or based on image content, are not sufficient for the most applications. Methods based on semantic features are more suitable. In this paper we propose a new query by shape (QS) method for image retrieval from multimedia databases. Each image in the database is represented as a set of graphical objects, which are specified using graphical primitives like lines, circles, polygons etc. To retrieve images containing the given object, the object shape should be provided. Next, the efficient algorithm for testing the similarity of shapes is applied. The preliminary results showed the high effectiveness of the QS method.

Multimedia Database Systems

Abstract: One of the requirements of multimedia database systems is that they will need a data model more powerful than the relational model, without compromising its advantages. The relational data model exhibits limitations in terms of complex object support, type system, and object management. To address these issues, we have emphasized one key requirement for multimedia databases, which is the process of temporal synchronization. We have discussed various conceptual models to specify this requirement and have highlighted their capabilities and limitations. Still, a number of other issues need to be faced before multimedia database systems become a reality.

The study of multimedia data model technology based on cloud computing

Abstract: The study describes the cloud computing-based multimedia database and the different traditional database, object-oriented database model of the concept, discusses the cloud-based object-oriented multimedia database of two ways, and summarized the characteristics of such multimedia database model, superiority and development.