Results 21 to 30 of about 4,123 (220)
CoRR, 2020 arXiv admin note: text overlap with arXiv:2002 ...
Subhadip Maji, Smarajit Bose
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Details of competitive CBIR methods.
, 2022 Details of competitive CBIR methods.
Rehan Mehmood Yousaf (13899565) +4 more
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BERDASARKAN FITUR BENTUK BERBASIS WEB MENGGUNAKAN METODE GRADIEN VEKTOR FLOW SNAKE
Ilkom Jurnal Ilmiah, 2017 Proses pencarian berupa file digital merupakan hal sangat penting dalam menggunakan teknologi, sehingga ketika seseorang ingin menemukan file yang terdapat pada komputer namun tidak dapat diketahui lokasi penyimpanannya sehingga sulit ditemukan, terlebih
Iradatil Wahdaniah, Harlinda Harlinda
doaj +1 more source
Relevance Feedback in CBIR [PDF]
, 2002 A new focus in content-based image retrieval (CBIR) research is applying relevance feedback originally developed for text document retrieval, to improve the retrieval performance. This effort tries to bridge the gap between low-level image features and high-level semantic contents of images as this gap is the bottleneck of CBIR.
HongJiang Zhang, Zhong Su
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Rekayasa, 2012 Gaya hidup manusia yang serba praktis, cepat dan akurat menuntut pertumbuhan teknologi yang pesat untuk memenuhi kebutuhan. Salah satunya adalah kebutuhan akan data dan informasi yang akurat. Salah satu teknik yang digunakan adalah Sistem Perolehan Citra
Rima Tri Wahyuningrum +1 more
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CBIR with Perceptual Region Features [PDF]
Procedings of the British Machine Vision Conference 2001, 2001 A perceptual approach to generating features for use in indexing and retrieving images is described. Salient regions that immediately attract the eye are colour (textured) regions that usually dominate an image. Features derived from these will allow search for images that are similar perceptually.
Mirmehdi, M, Perissamy, R
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Advances in Civil Engineering, 2014 The current study assesses the drying shrinkage behaviour of polyvinyl alcohol fibre reinforced concrete (PVA-FRC) containing short-length (6 mm) and long-length (12 mm) uncoated monofilament PVA fibres at 0.125%, 0.25%, 0.375%, and 0.5% volumetric ...
Amin Noushini +3 more
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CBIR Using Features Derived by Deep Learning [PDF]
ACM/IMS Transactions on Data Science, 2021 In a Content-based Image Retrieval (CBIR) System, the task is to retrieve similar images from a large database given a query image. The usual procedure is to extract some useful features from the query image and retrieve images that have a similar set of features.
Subhadip Maji, Smarajit Bose
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A Novel Hybrid Approach for a Content-Based Image Retrieval Using Feature Fusion
Applied Sciences, 2023 The multimedia content generated by devices and image processing techniques requires high computation costs to retrieve images similar to the user’s query from the database.
Shahbaz Sikandar +2 more
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An Improved Relevance Feedback in CBIR
CoRR, 2020 Relevance Feedback in Content-Based Image Retrieval is a method where the feedback of the performance is being used to improve itself. Prior works use feature re-weighting and classification techniques as the Relevance Feedback methods. This paper shows a novel addition to the prior methods to further improve the retrieval accuracy.
Subhadip Maji, Smarajit Bose
openaire +2 more sources