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.

High-Performance Telemedicine Information Management

Abstract: The rapid advances in high performance global communication have accelerated cooperative image-based medical services to a new frontier. Traditional image-based medical services such as radiology and diagnostic consultation can now fully utilize multimedia technologies to provide novel services, including remote cooperative medical triage, distributed virtual simulation of operations, as well as cross-country collaborative medical research and training. Fast (efficient) and easy (flexible) retrieval of relevant images remains a critical requirement for the provision of remote medical services. This paper describes the database system requirements and presents a system architecture of a distributed multimedia database system, MISSION-DBS, which has been designed to fulfill the goals of Project MISSION (medical imaging support via satellite integrated optical network)?an experimental high performance gigabit satellite communication network linking remote supercomputing power, medical image databases, and 3D visualization capabilities, in addition to medical expertise anywhere and anytime around the globe. The MISSION-DBS design employs a synergistic fusion of techniques in distributed databases (DDB) and artificial intelligence (AI) for storing, migrating, accessing, and exploring images. The efficient storage and retrieval of voluminous image information is achieved by integrating DDB modeling and AI techniques for image processing while the flexible retrieval mechanisms are accomplished by combining attribute-based and content-based retrievals.

Multimedia technology for hearing impaired people

Abstract: The development of advanced hearing prosthetic aids and cochlear implants allows many hearing impaired people to receive audio signals. A multimedia catalogue of hearing impairments was developed which includes the results of audiology tests, medical description of the subjects with different types of hearing impairments and sound examples illustrating consequences of a hearing loss. Moreover, within the framework of research projects some digital signal processing applications were developed for hearing prostheses, such as a digital waveguide model of hearing aid acoustical parts and a neural network-based beamformer. Another multimedia database was created in order to facilitate the diagnosis of hearing nerve sensitivity on the basis of electrostimulation tests. Some results of the above multimedia signal processing applications are shown.

Output Constraints in Multimedia Database Systems

Abstract: Constraints are used in traditional database systems to define consistent database states. For multimedia data it is also important to define constraints for a correct data output. The output of multimedia data can be distorted if output parameters of multimedia data (e.g. resolution of an image) are changed arbitrary. The producer of multimedia data should specify constraints for a correct data output. This paper introduces output constraints. Output constraints can restrict output parameters (e.g. resolution). They can also define relationships (e.g. synchronization) during the output of multimedia data. The contribution of this paper is a classification of necessary output constraints and the developing of specification methods for the constraint classes.

Very Low Bit Rate Video Coding Based on Statistical Spatio-Temporal Prediction of Motion, Segmentation and Intensity Fields

Abstract: There are a large number of applications requiring the compression of video at Very Low Bit Rates (VLBR). Such applications include wireless video conferencing, video over the internet, multimedia database retrieval and remote sensing and monitoring. Recently, the MPEG-4 standardization effort has been a motivating factor to find a solution to this challenging problem. The existing approaches to this problem can generally be grouped into block-based, model-based, and object-oriented. Block-based approaches follow the traditional strategy of decoupling the image sequence into blocks, model-based approaches rely on complex 3-D models for specific objects that are encoded, and object-oriented approaches rely on analyzing the scene into differently moving objects. All three approaches exhibit potential problems. Block-based approaches tend to generate artifacts at the boundaries of the blocks, as well as to limit the minimum achievable bit rate due to the fixed analysis structure of the scene. Model-based codecs are limited by the complex 3-D models of the objects to be encoded. On the other hand, object-oriented codecs can generate a significant overhead due to the analysis of the scene which needs to be transmitted, which in turn can be the limiting factor in achieving the target bit rates. In this chapter, we propose a hybrid object-oriented codec in which the correlations among the three information fields, e.g., motion, segmentation and intensity fields, are exploited both spatially and temporally. In the proposed method, additional intelligence is given to the decoder, resulting in a reduction of the required bandwidth. The residual information is analyzed in three different categories, i.e., occlusion, model failures, and global refinement. With other side information, it is encoded and transmitted across the channel. Experimental results are presented which demonstrate the effectiveness of the proposed approach.

A Novel Multi-Channel Data Broadcast Scheme for Multimedia Database Systems

Abstract: MultiMedia DataBase Management System (MMDBMS) becomes more popular in recent years, which supports complex and large multimedia data like images, audios, and videos etc. Data Broadcasting is an attractive approach for data dissemination to improve the limitations in mobile environment, such as narrow bandwidth, unreliable connections, and battery limitation. However, existing data broadcast schemes are inefficient for MMDBMS. In this paper, we present four novel multimedia data broadcast schemes (namely, SDAA, MDAA, AEA, and COA) specifically for wireless multichannel communications. The major strategies are scalable coding to generate data segments to different qualities, indexing and channel assignment to minimize the expected waiting time for clients. We prove theoretically that SDAA is a 2-approximation. COA performs best when we release the constraints and it can be judged as an theoretical lower bound, while AEA outputs local optimal solution with quality allocation constraints. Finally, SDAA+AEA form a best scheduling for practical applications. We also provide numerical experiments to evaluate the system performance, proving the efficiency of our schemes.