SURF binarization and fast codebook construction for image retrieval

Kan, Shichao; Cen, Yi; Wang, Yanhong; Voronin, Viacheslav; Mladenović, Vladimir; Zhang, Ming

doi:10.1016/j.jvcir.2017.08.006

Cited by 20 publications

(9 citation statements)

References 41 publications

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“…Image matching is adopted based on an improved distance formula of CDHs. For fair comparison, the proposed method will be compared with the current image retrieval methods, HOG [ 20 ], LBP [ 10 ], MTH [ 12 ], CDHs [ 2 ], CVH [ 5 ], BOW [ 38 ], and other methods [ 43 , 44 ]. Most of these methods were developed for image retrieval.…”

Section: Resultsmentioning

confidence: 99%

“…(2) CDHs [ 2 ], MTH [ 12 ], and CVH [ 5 ] follow the original setting of image representation and similarity measures. (3) The results of other methods [ 43 , 44 ] come from their conference reports.…”

Section: Resultsmentioning

confidence: 99%

“…On the Oxford5k and Holidays datasets, mean average precision (mAP) is utilized to evaluate the performance of FPCH and other compared algorithms [ 43 , 44 ]. We are following the original setting of query images and the corresponding relevant images.…”

Section: Resultsmentioning

confidence: 99%

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Image Retrieval Using the Fused Perceptual Color Histogram

Liu

Zhao

2020

Computational Intelligence and Neuroscience

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Extracting visual features for image retrieval by mimicking human cognition remains a challenge. Opponent color and HSV color spaces can mimic human visual perception well. In this paper, we improve and extend the CDH method using a multi-stage model to extract and represent an image in a way that mimics human perception. Our main contributions are as follows: (1) a visual feature descriptor is proposed to represent an image. It has the advantages of a histogram-based method and is consistent with visual perception factors such as spatial layout, intensity, edge orientation, and the opponent colors. (2) We improve the distance formula of CDHs; it can effectively adjust the similarity between images according to two parameters. The proposed method provides efficient performance in similar image retrieval rather than instance retrieval. Experiments with four benchmark datasets demonstrate that the proposed method can describe color, texture, and spatial features and performs significantly better than the color volume histogram, color difference histogram, local binary pattern histogram, and multi-texton histogram, and some SURF-based approaches.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

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Image Retrieval Using the Fused Perceptual Color Histogram

Liu

Zhao

2020

Computational Intelligence and Neuroscience

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“…Some recent color descriptors are local color occurrence descriptor [45], rotation invariant structure based descriptor [46], illumination invariant color descriptor [47], etc. Other notable image retrieval methods are based on SURF binarization and fast codebook construction [48], feature fusion using compressed sensing [49], and feature fusion using separable vocabulary [50].…”

Section: Arxiv:170906508v2 [Cscv] 4 Dec 2018mentioning

confidence: 99%

Face retrieval using frequency decoded local descriptor

Dubey

2018

Multimed Tools Appl

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The local descriptors have been the backbone of most of the computer vision problems. Most of the existing local descriptors are generated over the raw input images. In order to increase the discriminative power of the local descriptors, some researchers converted the raw image into multiple images with the help of some high and low pass frequency filters, then the local descriptors are computed over each filtered image and finally concatenated into a single descriptor. By doing so, these approaches do not utilize the inter frequency relationship which causes the less improvement in the discriminative power of the descriptor that could be achieved. In this paper, this problem is solved by utilizing the decoder concept of multi-channel decoded local binary pattern over the multi-frequency patterns. A frequency decoded local binary pattern (FDLBP) is proposed with two decoders. Each decoder works with one low frequency pattern and two high frequency patterns. Finally, the descriptors from both decoders are concatenated to form the single descriptor. The face retrieval experiments are conducted over four benchmarks and challenging databases such as PaSC, LFW, PubFig, and ESSEX. The experimental results confirm the superiority of the FDLBP descriptor as compared to the state-of-the-art descriptors such as LBP, SOBEL LBP, BoF LBP, SVD S LBP, mdLBP, etc.

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“…Emerging developments are posing challenges in information technology [ 1 , 2 , 3 ] that include searching large databases [ 1 , 2 ], solving complex processes described by mathematical models, analyzing phenomena in communications in the information space, such as the transmission of wireless signals in urban environments [ 4 , 5 , 6 ], and the continuous high speed delivery of information without stagnation in software engineering [ 7 ]. The common feature among all these issues is how to directly obtain results for further processing or exploitation.…”

Section: Introductionmentioning

confidence: 99%

An Operation Reduction Using Fast Computation of an Iteration-Based Simulation Method with Microsimulation-Semi-Symbolic Analysis

Mladenović

Milošević

Lutovac³

et al. 2018

Entropy

Self Cite

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This paper presents a method for shortening the computation time and reducing the number of math operations required in complex calculations for the analysis, simulation, and design of processes and systems. The method is suitable for education and engineering applications. The efficacy of the method is illustrated with a case study of a complex wireless communication system. The computer algebra system (CAS) was applied to formulate hypotheses and define the joint probability density function of a certain modulation technique. This innovative method was used to prepare microsimulation-semi-symbolic analyses to fully specify the wireless system. The development of an iteration-based simulation method that provides closed form solutions is presented. Previously, expressions were solved using time-consuming numerical methods. Students can apply this method for performance analysis and to understand data transfer processes. Engineers and researchers may use the method to gain insight into the impact of the parameters necessary to properly transmit and detect information, unlike traditional numerical methods. This research contributes to this field by improving the ability to obtain closed form solutions of the probability density function, outage probability, and considerably improves time efficiency with shortened computation time and reducing the number of calculation operations.

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SURF binarization and fast codebook construction for image retrieval

Cited by 20 publications

References 41 publications

Image Retrieval Using the Fused Perceptual Color Histogram

Image Retrieval Using the Fused Perceptual Color Histogram

Face retrieval using frequency decoded local descriptor

An Operation Reduction Using Fast Computation of an Iteration-Based Simulation Method with Microsimulation-Semi-Symbolic Analysis

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