A concept-based model for image retrieval systems

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

doi:10.1016/j.compeleceng.2015.06.018

Cited by 10 publications

(3 citation statements)

References 31 publications

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“…It uses noumena to enhance the performance of information retrieval and sharing procedures. Zarchi et al [13] present the semantic-based framework for data search, which detects the objects and recognizes upper-level concepts specifying existing co-occurring targets by mean of two conceptual layers, respectively. Toharia et al [14] study the effects of semantic tests on video searches by artificially modifying the performance of detection of semantic features.…”

Section: Related Workmentioning

confidence: 99%

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Video Indexing and Retrieval based on Key Frame Extraction

Wang¹

2018

IJPE

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With the ever growing amount of digital video data becoming available, people are gradually challenged to come up with methods that facilitate video indexing and retrieval. This paper presents a key frame based method that employs shot boundary detection and "bag-ofvisual-words (BoW)" based on local keypoints for key frame extraction and semantic concept detection. The performance of BoW features is optimized by choosing appropriate representation choices. Once video frames are represented by BoW features, we can adopt a spectral clustering algorithm for the generation of key frames in each shot, and then we can classify these key frames using support vector machines for video indexing. Finally, this paper performs a query by concept search for video retrieval. The experimental results demonstrate that the proposed approach is capable of retrieving videos. Compared with the existing related method, the proposed method yields better results for key frame extraction and yields a mean average precision (MAP) of 0.68 for the video retrieval model.

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Section: Related Workmentioning

confidence: 99%

“…Let y i be the true label vector of the i th instance and ŷ i be the predicted label vector. Evaluation criteria for multi-label classification problems, including exact match ratio, macro-average F-measure, and micro-average F-measure, can be computed using (11)(12)(13), respectively.…”

Section:   mentioning

confidence: 99%

Video Indexing and Retrieval based on Key Frame Extraction

Wang¹

2018

IJPE

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“…Experimental results show that the proposed model in a similar fashion, visual image retrieval based on conceptual method has been superior results (slightly higher than). [18].…”

Section:  Using Local Mesh Pattern (Lmep)mentioning

confidence: 99%