Normal Forms for Multimedia Databases

2013 ◽  
pp. 136-153
Author(s):  
Shi Kuo Chang ◽  
Vincenzo Deufemia ◽  
Giuseppe Polese
Keyword(s):  
Normal Forms ◽  
Similarity Measures ◽  
Multimedia Databases ◽  
Multimedia Data ◽  
Multimedia Database ◽  
Complex Data ◽  
Data Types ◽  
Semantic Relationships ◽  
Domain Specific ◽  
Different Types

In this chapter we present normal forms for the design of multimedia database schemes with reduced manipulation anomalies. To this aim we first discuss how to describe the semantics of multimedia attributes based upon the concept of generalized icons, already used in the modeling of multimedia languages. Then, we introduce new extended dependencies involving different types of multimedia data. Such dependencies are based on domain specific similarity measures that are used to detect semantic relationships between complex data types. Based upon these new dependencies, we have defined five normal forms for multimedia databases, some focusing on the level of segmentation of multimedia attributes, others on the level of fragmentation of tables.

Multimedia Databases and Data Management

2012 ◽  
pp. 1-11
Author(s):  
Shu-Ching Chen
Keyword(s):  
Data Management ◽  
Relevant Information ◽  
Multimedia Databases ◽  
Multimedia Data ◽  
Formal Structure ◽  
Multimedia Database ◽  
Storage Devices ◽  
Temporal Relationships ◽  
Spatio Temporal ◽  
Application Requirements

The exponential growth of the technological advancements has resulted in high-resolution devices, such as digital cameras, scanners, monitors, and printers, which enable the capturing and displaying of multimedia data in high-density storage devices. Furthermore, more and more applications need to live with multimedia data. However, the gap between the characteristics of various media types and the application requirements has created the need to develop advanced techniques for multimedia data management and the extraction of relevant information from multimedia databases. Though many research efforts have been devoted to the areas of multimedia databases and data management, it is still far from maturity. The purpose of this article is to discuss how the existing techniques, methodologies, and tools addressed relevant issues and challenges to enable a better understanding in multimedia databases and data management. The focuses include: (1) how to develop a formal structure that can be used to capture the distinguishing content of the media data in a multimedia database (MMDB) and to form an abstract space for the data to be queried; (2) how to develop advanced content analysis and retrieval techniques that can be used to bridge the gaps between the semantic meaning and low-level media characteristics to improve multimedia information retrieval; and (3) how to develop query mechanisms that can handle complex spatial, temporal, and/or spatio-temporal relationships of multimedia data to answer the imprecise and incomplete queries issued to an MMDB.

Multimedia Databases and Data Management

2010 ◽  
Vol 1 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Shu-Ching Chen
Keyword(s):  
Data Management ◽  
Relevant Information ◽  
Multimedia Databases ◽  
Multimedia Data ◽  
Formal Structure ◽  
Multimedia Database ◽  
Storage Devices ◽  
The Media ◽  
Spatio Temporal ◽  
Application Requirements

The exponential growth of the technological advancements has resulted in high-resolution devices, such as digital cameras, scanners, monitors, and printers, which enable the capturing and displaying of multimedia data in high-density storage devices. Furthermore, more and more applications need to live with multimedia data. However, the gap between the characteristics of various media types and the application requirements has created the need to develop advanced techniques for multimedia data management and the extraction of relevant information from multimedia databases. Though many research efforts have been devoted to the areas of multimedia databases and data management, it is still far from maturity. The purpose of this article is to discuss how the existing techniques, methodologies, and tools addressed relevant issues and challenges to enable a better understanding in multimedia databases and data management. The focuses include: (1) how to develop a formal structure that can be used to capture the distinguishing content of the media data in a multimedia database (MMDB) and to form an abstract space for the data to be queried; (2) how to develop advanced content analysis and retrieval techniques that can be used to bridge the gaps between the semantic meaning and low-level media characteristics to improve multimedia information retrieval; and (3) how to develop query mechanisms that can handle complex spatial, temporal, and/or spatio-temporal relationships of multimedia data to answer the imprecise and incomplete queries issued to an MMDB.

Service Mechanism Quality for Enhanced Mobile Multimedia Database Query Processing

2005 ◽  
pp. 619-623
Author(s):  
Yanpu Zhang ◽  
Zhengxin Chen
Keyword(s):  
Quality Of Service ◽  
Query Processing ◽  
Multimedia Databases ◽  
Multimedia Data ◽  
Multimedia Database ◽  
Mobile Multimedia ◽  
Object Relational ◽  
Novel Concept ◽  
Wireless Mobile

Among the challenges of multimedia and mobile computing, providing a mechanism for data retrieval in multimedia databases under wireless mobile environments is one of the most difficult issues (Shih, 2001). Up to now, the fundamental technologies that are specialized for wireless mobile, multimedia environments are not mature in object-oriented, object-relational, as well as relational databases (Hillborg, 2002; Ramakrishnan & Gehrke, 2003; Watson, 2004). An important issue is how to ensure quick query response for the users. If a user found out that the retrieved multimedia object is neither interesting nor useful after it is displayed, then the time and bandwidth used for transmitting the multimedia objects have already been wasted. In order to save precious time and expensive bandwidth, it could be a good idea to let users browse objects at an acceptable resolution without paying much attention to the details or at the limited device display capability. This article presents a novel concept to deal with this problem by making use the concept of quality of service (QoS) to achieve adaptive query processing. In general, traditional QoS management is defined as the necessary supervision and control to ensure that the desired quality of service properties are attained and sustained, which applies both to continuous media interactions and to discrete interactions (Chalmers & Sloman, 1999). QoS thus consists of a set of specific requirements for a particular service provided by a network to users. However, little work has been done in extending QoS principles to multimedia data management in wireless network environments.

Normalizing Multimedia Databases

2005 ◽  
pp. 408-412
Author(s):  
Shi Kuo Chang ◽  
Vincenzo Deufemia ◽  
Giuseppe Polese
Keyword(s):  
Multimedia Information ◽  
Information Management ◽  
Data Model ◽  
Query Language ◽  
Data Models ◽  
Multimedia Databases ◽  
Complex Data ◽  
Data Types ◽  
Indexing Techniques ◽  
Application Fields

Multimedia databases have been used in many application fields. As opposed to traditional alphanumeric databases, they need enhanced data models and DBMSs to enable the modeling and management of complex data types. After an initial anarchy, multimedia DBMSs (MMDBMS) have been classified based on standard issues, such as the supported data model, the indexing techniques to support content-based retrieval, the query language, the support for distributed multimedia information management, and the flexibility of their architecture (Narasimhalu, 1996).

Knowledge-Assisted Retrieval of Spatiotemporal Content in Multimedia Databases

1997 ◽  
Vol 07 (03) ◽  
pp. 289-303
Author(s):  
Atsuo Yoshitaka ◽  
Masahito Hirakawa ◽  
Tadao Ichikawa
Keyword(s):  
Temporal Relationship ◽  
Data Retrieval ◽  
Multimedia Databases ◽  
Multimedia Data ◽  
Multimedia Database ◽  
Specific Knowledge ◽  
Temporal Relationships ◽  
Video And Audio ◽  
Spatio Temporal ◽  
Proper Interpretation

Retrieval is one of the challenging issues in multimedia database studies. Components of multimedia data such as image, video, and audio convey various meaning depending on the standpoint in viewing the data. Deriving the meaning of data, therefore, is not an easy task. At the same time, components of multimedia data inherently possess spatial and/or temporal relationships among them. These two aspects of multimedia data make data retrieval difficult without the support of specific knowledge for the proper interpretation of data and queries. In this paper, we provide an overview of existing approaches related to the issue of implementing content-based retrieval of multimedia databases and then describe a framework for enabling knowledge-assisted retrieval of audio visual content and their spatio-temporal relationship based on user cognition.

scholarly journals Creativity as a function of problem-solving expertise: posing new problems through investigations

ZDM ◽  
2021 ◽  
Author(s):  
Haim Elgrably ◽  
Roza Leikin
Keyword(s):  
Problem Solving ◽  
Dynamic Geometry ◽  
Problem Posing ◽  
Dynamic Geometry Environment ◽  
Mathematics Majors ◽  
Individual Interviews ◽  
University Mathematics ◽  
Domain Specific ◽  
Mathematics Test ◽  
Different Types

AbstractThis study was inspired by the following question: how is mathematical creativity connected to different kinds of expertise in mathematics? Basing our work on arguments about the domain-specific nature of expertise and creativity, we looked at how participants from two groups with two different types of expertise performed in problem-posing-through-investigations (PPI) in a dynamic geometry environment (DGE). The first type of expertise—MO—involved being a candidate or a member of the Israeli International Mathematical Olympiad team. The second type—MM—was comprised of mathematics majors who excelled in university mathematics. We conducted individual interviews with eight MO participants who were asked to perform PPI in geometry, without previous experience in performing a task of this kind. Eleven MMs tackled the same PPI task during a mathematics test at the end of a 52-h course that integrated PPI. To characterize connections between creativity and expertise, we analyzed participants’ performance on the PPI tasks according to proof skills (i.e., auxiliary constructions, the complexity of posed tasks, and correctness of their proofs) and creativity components (i.e., fluency, flexibility and originality of the discovered properties). Our findings demonstrate significant differences between PPI by MO participants and by MM participants as reflected in the more creative performance and more successful proving processes demonstrated by MO participants. We argue that problem posing and problem solving are inseparable when MO experts are engaged in PPI.

Assessing covariability among populations in the presence of intraseries correlation: Columbia River spring-summer chinook salmon (Oncorhynchus tshawytscha) stocks

2000 ◽  
Vol 57 (3) ◽  
pp. 616-627 ◽  
Author(s):  
Louis W Botsford ◽  
Charles M Paulsen
Keyword(s):  
Chinook Salmon ◽  
Degrees Of Freedom ◽  
Oncorhynchus Tshawytscha ◽  
Columbia River ◽  
Data Types ◽  
Natural Logarithm ◽  
Different Types ◽  
John Day River ◽  
One Year ◽  
John Day

We assessed covariability among a number of spawning populations of spring-summer run chinook salmon (Oncorhynchus tshawytscha) in the Columbia River basin by computing correlations among several different types of spawner and recruit data. We accounted for intraseries correlation explicitly in judging the significance of correlations. To reduce the errors involved in computing effective degrees of freedom, we computed a generic effective degrees of freedom for each data type. In spite of the fact that several of these stocks have declined, covariability among locations using several different combinations of spawner and recruitment data indicated no basinwide covariability. There was, however, significant covariability among index populations within the three main subbasins: the Snake River, the mid-Columbia River, and the John Day River. This covariability was much stronger and more consistent in data types reflecting survival (e.g., the natural logarithm of recruits per spawner) than in data reflecting abundance (e.g., spawning escapement). We also tested a measure of survival that did not require knowing the age structure of spawners, the ratio of spawners in one year to spawners 4 years earlier. It displayed a similar spatial pattern.

scholarly journals A Distributed Content-Based Video Retrieval System for Large Data-sets

2021 ◽  
Author(s):  
ElMehdi SAOUDI ◽  
Said Jai Andaloussi
Keyword(s):  
Real Time ◽  
Retrieval System ◽  
Video Retrieval ◽  
Multimedia Databases ◽  
Video Data ◽  
Multimedia Data ◽  
Machine Learning Techniques ◽  
Data Sets ◽  
Data Set ◽  
Content Based Video Retrieval

Abstract With the rapid growth of the volume of video data and the development of multimedia technologies, it has become necessary to have the ability to accurately and quickly browse and search through information stored in large multimedia databases. For this purpose, content-based video retrieval ( CBVR ) has become an active area of research over the last decade. In this paper, We propose a content-based video retrieval system providing similar videos from a large multimedia data-set based on a query video. The approach uses vector motion-based signatures to describe the visual content and uses machine learning techniques to extract key-frames for rapid browsing and efficient video indexing. We have implemented the proposed approach on both, single machine and real-time distributed cluster to evaluate the real-time performance aspect, especially when the number and size of videos are large. Experiments are performed using various benchmark action and activity recognition data-sets and the results reveal the effectiveness of the proposed method in both accuracy and processing time compared to state-of-the-art methods.

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