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.

Virtual Reality Techniques for Ancient Building Protection and the Establishment of Database - Taking Foshan Zumiao as an Example

Abstract: Foshan Zumiao is one of the three major treasures of the Lingnan ancient buildings and the establishment of the Digital Zumiao is a cultural project of important significance. By means of the combination of the overall-view images obtained by high dynamical light rendering technique (HDR) and the images with digital back ultrahigh resolution, with the multimedia database as the bolster, the Digital Zumiao realizes the reflection of the entity space of the Zumiao building in the virtual environment. Based on this target and experienced the processes and works such as the data survey and acquisition of the Digital Zumiao, analysis and processing of images and word data, and the set up of multimedia database of the Digital Zumiao etc. the virtual reality system and the digitalizing system of the Digital Zumiao were established .

A Logical Approach to Quality of Service Specification in Video Databases

Abstract: Quality of Service (QoS) is defined as a set of perceivable attributes expressed in a user-friendly language with parameters that may be objective or subjective. Objective parameters are those related to a particular service and are measurable and verifiable. Subjective parameters are those based on the opinions of the end-users. We believe that quality of service should become an integral part of multimedia database systems and users should be able to query by requiring a quality of service from the system. The specification and enforcement of QoS presents an interesting challenge in multimedia systems development. A deal of effort has been done on QoS specification and control at the system and the network levels, but less work has been done at the application/user level. In this paper, we propose a language, in the style of constraint database languages, for formal specification of QoS constraints. The satisfaction by the system of the user quality requirements can be viewed as a constraint satisfaction problem, and the negotiation can be viewed as constraint optimization. We believe this paper represents a first step towards the development of a database framework for quality of service management in video databases. The contribution of this paper lies in providing a logical framework for specifying and enforcing quality of service in video databases. To our knowledge, this work is the first from a database perspective on quality of service management.

A Multimedia Query Specification Language.

Abstract: Typically, multimedia applications involve thousands of hours of video, images, audio, text and graphics that need to be stored, retrieved and manipulated in a large multimedia database. There is therefore an important need for novel techniques and systems which provide an efficient retrieval facility of the voluminous information stored in the multimedia database. Such facility will consist of a query language, a data structure, and a content searching algorithm. We propose a multimedia query specification language that can be used to describe the multimedia content portion to be retrieved from the database. Such a content portion is termed a multimedia segment which may contain information on the media as well as the temporal and spatial relationships that may exist between these media.

A cross-dimension indexing structure for query-by-singing

Abstract: This paper proposes a novel cross-dimension indexing structure for the query by singing (QBS) via singing segment input. Content-Based Song Retrieval (CBSR) is a branch of Content-Based Audio Retrieval (CBAR). Query by Humming / Singing of CBMR(Content-Based Music Retrieval) / CBSR offers a totally new retrieval method by searching the desired music or song based on the users humming or singing segments via microphone and then real-time retrieval the intended song from a large or web-based multimedia database on the internet quickly. The base of our study on which the user's acoustic input and separated and subtracted melody features, pitch features and lyrics or vocalization features of lyrics into vector index sets database. First, we consider these features among melody, pitch, lyrics or lyrics vocalization. Second, we design a cross-dimension indexing (CDIndex) to scripts these relationships. Third, from 1000 candidate for songs, using vocalization feature of lyrics value filters out 70% unlikely candidates. And then compares the melody feature of query singing segment input with the remaining 30% candidates in a detailed manner, at last search related picture. The output of QBS will be a ranked song list with lyrics, singer and picture. The CDIndex is given in the paper to descript how to builds the cross-linking-index each other among melody, pitch, keyword of lyrics, and picture. The proposed CDIndex can be extended applied to cross-media information retrieval system in digital multimedia database or over the Internet. It will improve the user's experience by applying this new song retrieval method.

H-Rule Mining in Heterogeneous Databases

Abstract: We examined the problem of applying association rules in a heterogeneous database. Due to heterogeneity, we have to generalize the notion of association rule to define a new heterogeneous association rule (h-rule) which denotes data association between various types of data in different subsystems of a heterogeneous and multimedia database, such as music pieces vs. photo pictures, etc. Boolean association rule and quantitative association rule are special cases of h-rule. H-rule integrates previously defined rule concepts and expands association rule mining from single dataset mining to database mining.