A survey on optimizing video and audio query retrieval in multimedia databases

Rasli, Ruziana Mohamad; Haw, Su-Cheng; Wong, Chee-Onn

doi:10.1109/icacte.2010.5579154

Cited by 2 publications

(2 citation statements)

References 35 publications

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“…The queries are used to access semantic information included in multimedia data like video data and motion information [6]. A retrieval process takes advantages of texture, shape, color, and other properties from raw data to analyze this data in respect meaningful entities and geometric patterns [7]. Using CBR in image retrieval requires high level semantics from human to evaluate the retrieval results, hence, overcome the semantic gap in image and video objects [8].…”

Section: Query Optimization Techniquesmentioning

confidence: 99%

“…This technique based on semantic equivalence instead of syntactic equivalence between different queries [12]. The retrieval process can be optimized by combining the query and data-centric method [7]. Using this technique in image retrieval, depend on extract the image metadata prior in the database, as well putting semantics of query and images in the same category, in order to facilitate defining similarity by the query processor [13].…”

Section: Semantic Based Retrievalmentioning

confidence: 99%

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Comparison of query optimization techniques in content based image retrieval (CBIR)

Alharthi¹,

Alqurashi²

2019

IJAMR

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With increasing the popularity of World Wide Web, storing digital contents increases enormously, in that case, it is important to implement convenient information systems which manage the collections of these digital contents efficiently. This paper concentrates on hastening techniques for efficient retrieval of images. Content-Based Image Retrieval (CBIR) systems are used by common approaches. These systems support retrieving similar images depend on content properties (e.g., color, shape, and texture) by retrieving automatically similar images to a pattern or user-defined specification. The CBIR generally used in several applications by applying different techniques in each application which in turns enhance the retrieval process. The paper aims to evaluate some of these applications and compare them to find out the proper methods that return the best results in these CBIR systems.

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Section: Query Optimization Techniquesmentioning

confidence: 99%

Section: Semantic Based Retrievalmentioning

confidence: 99%

Comparison of query optimization techniques in content based image retrieval (CBIR)

Alharthi¹,

Alqurashi²

2019

IJAMR

View full text Add to dashboard Cite

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A hybrid-architecture retrieval system based on Web Services

Cong

Shi

et al. 2015

2015 12th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD)

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In this paper, we design and implement a high quality audio material retrieval system in view of the shortcomings of existing professional audio retrieval platforms. The aim of our system is to provide an integrated audio retrieval solution for audio editing staffs. Firstly, for hybrid architecture, the server of the system described in this paper publishes services by Web Services when realizing B/S logical transaction. And the rich client of C/S calls the advertised services to provide Internet audio retrieval and other functions. Then based on this system architecture, we design the retrieval and the other peripheral modules to achieve overall functions of the system. Finally, some performance tests are done to our system.

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A survey on optimizing video and audio query retrieval in multimedia databases

Cited by 2 publications

References 35 publications

Comparison of query optimization techniques in content based image retrieval (CBIR)

Comparison of query optimization techniques in content based image retrieval (CBIR)

A hybrid-architecture retrieval system based on Web Services

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