A semantic model for general purpose content-based image retrieval systems

Zarchi, Mohsen Sardari; Monadjemi, Amirhasan; Jamshidi, Kamal

doi:10.1016/j.compeleceng.2014.07.008

Cited by 12 publications

(8 citation statements)

References 26 publications

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“…Although this approach considers spatial contents of images but it is only suitable for simple scene. This is due to the fact that in a complex image, more than one object may inappropriately be located in one block, or one object may be fragmented into some blocks [5].…”

Section: Local Feature-basedmentioning

confidence: 99%

“…So, in annotation-based approach, the image is firstly partitioned or segmented into blocks or regions. Then, the blocks or segments are annotated by the machine learning algorithms [5]. For example, Rahman et al [11] partition the image into a grid of equivalent blocks.…”

Section: Annotation-basedmentioning

confidence: 99%

“…Although low-level features can describe the content of simple images, they cannot properly describe complex images, containing high-level concepts. This is the main challenge of CBIR systems and is called ''semantic gap'' in the literatures [3][4][5][6][7]. In addition to this challenge, CBIR systems usually ignore the relations and context among the image objects in the retrieval process.…”

Section: Introductionmentioning

confidence: 98%

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A concept-based model for image retrieval systems

Zarchi

Monadjemi

Jamshidi

2015

Computers & Electrical Engineering

Self Cite

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Section: Local Feature-basedmentioning

confidence: 99%

Section: Annotation-basedmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

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A concept-based model for image retrieval systems

Zarchi

Monadjemi

Jamshidi

2015

Computers & Electrical Engineering

Self Cite

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“…A CBIR system must be able to retrieve the images having details oriented randomly in nature. Recently, semantic based approaches became popular for image retrieval because it copes with the problem of CBIR [3,4]. To describe the semantic concepts and to be able to get the results close to human perception, relevance feedback algorithms are used by some researchers [5] in semantic image retrieval.…”

Section: Motivationmentioning

confidence: 99%

Rotation and scale invariant hybrid image descriptor and retrieval

Dubey

Singh

2015

Computers & Electrical Engineering

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“…In the existing research of 3D model retrieval technology, retrieval based on semantic information has been applied. The basic idea of this retrieval method is to consider both the similarity of the shape of the retrieval object and the semantic similarity of the application domain (Shen et al, 2014;Zarchi et al, 2014;Zhang et al, 2006). For example, Zhang et al (2011) proposed the semantic representation of assembly design intent.…”

Section: Introductionmentioning

confidence: 99%

A 3D assembly model retrieval method based on assembly information

Shan-xin

et al. 2019

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Purpose The purpose of this paper is to propose a three-dimensional (3D) assembly model retrieval method based on assembling semantic information to address semantic mismatches, poor accuracy and low efficiency in existing 3D assembly model retrieval methods. Design/methodology/approach The paper proposes an assembly model retrieval method. First, assembly information retrieval is performed, and 3D models that conform to the design intention of the assembly are found by retrieving the code. On this basis, because there are conjugate subgraphs between attributed adjacency graphs (AAG) that have an assembly relationship, the assembly model geometric retrieval is translated into a problem of finding AAGs with a conjugate subgraph. Finally, the frequent subgraph mining method is used to retrieve AAGs with conjugate subgraphs. Findings The method improved the efficiency and accuracy of assembly model retrieval. Practical implications The examples illustrate the specific retrieval process and verify the feasibility and reasonability of the assembly model retrieval method in practical applications. Originality/value The assembly model retrieval method in the paper is an original method. Compared with other methods, good results were obtained.

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A semantic model for general purpose content-based image retrieval systems

Cited by 12 publications

References 26 publications

A concept-based model for image retrieval systems

A concept-based model for image retrieval systems

Rotation and scale invariant hybrid image descriptor and retrieval

A 3D assembly model retrieval method based on assembly information

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