Evaluating the Effectiveness and the Efficiency of a Vector Image Search Tool.

DIME inherently supports building modality-agnostic queryable indexes and extraction of relevant feature embeddings, and thus effectively doubles as an efficient cross-modal tool to explore and search ... In this paper, we build upon previous work by tackling the difficulty of evaluating models both quantitatively and qualitatively quickly. ... A query such as text or image is first vectorized through appropriate preprocessors to create a query vector. ...

doi:10.1007/978-3-030-37734-2_61 fatcat:tondol5fjnh77nbfzcnd6syyqm

Multiple Versions

This paper demonstrates the capability of a set of image search algorithms and display tools to search large databases for multi-and hyperspectral image cubes most closely matching a particular query cube ... An interactive search and analysis tool is presented and tested based on a relevance feedback approach that uses the "human-in-the-loop" to enhance a content-based image retrieval process to rapidly find ... These tools must be able to perform, quickly and efficiently, a series of interactive search, retrieval, visual display, and analysis tasks. ...

doi:10.1117/12.421092 dblp:conf/dmkdttt/AlberFYXP01 fatcat:qc4otm6asbanngap4zspmqg3dq

This has created a constantly growing need for efficient and effective image browsing, searching, and retrieval tools. ... Empirical evaluations based on standard benchmarks, namely Wang, Oliva & Torralba, and Corel datasets demonstrate the effectiveness of the proposed RB-PRF mechanism in image retrieval. ... INTRODUCTION The development of the Internet created an ever-growing need for efficient and effective image browsing, searching, and retrieval tools. ...

doi:10.1145/2911451.2914747 dblp:conf/sigir/UluwitigeCGC16 fatcat:ohil4r6xnvcinn5uqdjzdiw42i

Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are inherently noisy and high ... The key component of the toolkit is a content-based similarity search engine for generic, multifeature object representations. ... We would like to thank Perry Cook and Matt Hoffman for their help with audio data segmentation and feature extraction, and thank Matt Hibbs and Olga Troyanskaya for being the users of the toolkit. ...

doi:10.1145/1218063.1217966 fatcat:hddkwy5abrdczju7gtiwpggbvu

Building content-based search tools for feature-rich data has been a challenging problem because feature-rich data such as audio recordings, digital images, and sensor data are inherently noisy and high ... The key component of the toolkit is a content-based similarity search engine for generic, multifeature object representations. ... We would like to thank Perry Cook and Matt Hoffman for their help with audio data segmentation and feature extraction, and thank Matt Hibbs and Olga Troyanskaya for being the users of the toolkit. ...

doi:10.1145/1217935.1217966 dblp:conf/eurosys/LvJWCL06 fatcat:3bt6q3gvxjgihcvoaasembnlvq

However, vector-space model does not consider the relational details among the keywords and biomedical image search space is not evaluated. ... The development of efficient search engine queries for biomedical images, especially in case of query-mismatch is still defined as an ill-posed problem. ... However, vector-space model does not consider the relational details among the keywords and biomedical image search space is not evaluated. ...

doi:10.1007/s11042-020-10391-w pmid:33551666 pmcid:PMC7848668 fatcat:plqon7reyne4xdeieo3ziedafi

In this paper we address the problem of object-class retrieval in large image data sets: given a small set of training examples defining a visual category, the objective is to efficiently retrieve images ... The first exploits sparse classification models expressed as linear combinations of a small number of features. These sparse models can be efficiently evaluated using inverted file indexing. ... Acknowledgements We are grateful to Alessandro Bergamo for help with the experiments. Thanks to Hervé Jégou for providing code of the product quantization method. ...

doi:10.1109/iccv.2011.6126556 dblp:conf/iccv/RastegariFT11 fatcat:uaqkjfrstfh4tenlyr2q3yq7ua

and for the classification of images. ... Moreover, differential evolution based feature selection is used for dimensionality reduction and an efficient self-advised version of support vector machine is used for evaluation of selected features ... Such tools can facilitate objective mathematical judgment complementary to that of a pathologist, and help them in identifying the affected areas efficiently. ...

doi:10.1109/embc.2015.7318478 pmid:26736378 dblp:conf/embc/MasoodA15 fatcat:auq6vsaxuzf7jpncylaarzqgbu

SEPIM is relatively efficient when set against other methods of searching images over plaintexts, and shows a higher search cost of just 14% and reduction in search precision of just 2%. ... Hence, a number of matching methods have been developed when confidential images are used in image matching between a pair of security agencies, but they are limited by either search cost or search precision ... Conflicts of Interest: The authors declare no conflict of interest. ...

doi:10.3390/app6080213 fatcat:ytoi64rnkfanvcmhnf3eu534vy

DOAJ

We show the improved performance of 2x in complex queries over a comparable set-up. ... We describe how to use VDMS via its user friendly interface and how it enables rich and efficient vision analytics through a machine learning pipeline for processing medical images. ... want to see the effect of a specific treatment on the size of a tumor. ...

arXiv:1810.11832v3 fatcat:qlfsf6m3crelxlpjeandtmwvs4

Multiple Versions

It is applied in image retrieval problem when user query is a fast drawn, rough example. The representation consists of two main elements. A neighborhood vector f and a vicinity table v. ... Experimental results show a good recognition accuracy in a data set containing a wide range of color images. M.H. Shafazand and A M. Tjoa (Eds.): EurAsia ... The first author is financially supported by the Ministry of Science, Research and Technology of I.R. Iran. ...

doi:10.1007/3-540-36087-5_8 fatcat:btgr3x2e75ebfodds6u3khs3vi

Moreover, video data sets seeks efficient data reduction methods due to the large size and noisy data. It lacks comparison analysis on the implementation and performance of these methods. ... Experimental results shows that Support Vector Machine (SVM) and k-NN are not sensitive to reduction of training sets. ... dimension evaluation on only a few relevant dimensions; 3) Dealing with large dimensionality of the descriptor space in an effective and efficient manner; 4) Providing co-existent labels to multimedia ...

doi:10.1109/mmsp.2008.4665134 dblp:conf/mmsp/XuPLJ08 fatcat:j2k24v6z5bf5vhlhkohkb42mue

The key component of this toolkit is a content-based similarity search engine for generic, multifeature object representations. ... The paper compared two filtering methods: using segment feature vectors and sketches constructed from segment feature vectors. ... Moses Charikar is sponsored by NSF ITR grant CCR-0205594, NSF CAREER award CCR-0237113, and MSPA-MCS award 0528414. William Josephson is sponsored by a National Science Foundation fellowship. ...

doi:10.1145/1178677.1178715 dblp:conf/mir/LvJWCL06 fatcat:vzvdbooyr5hsnof5guxpplpg3a

The survey leads to the conclusion that field of DE is growing fast and improving the contrast using DE will help to solve many complex problems in Image Processing. 2013 efficiency and having more accuracy ... Paul et. al. [28], 2014 Reduce the computational time and standard deviation of objective value F=0.5, CR==0.95 DE and PSO in Fuzzy C-partition A. ... Experimental results demonstrate that the new algorithm is more effective and efficient. R. Thangaraj et. al. ...

doi:10.23956/ijarcsse/v7i4/0108 fatcat:dcz5k3giajabroljggccsjoyae

The main objective of this paper is to provide an efficient tool which is used for efficient medical image retrieval from a huge content of medical image database and which is used for further medical ... The rapid expansion of digital data content has led to the need for rich descriptions and efficient Retrieval Tool. ... [1, 2] .In an effective image retrieval system, the user poses a query and the system should find images that are somehow relevant to the query.Thus,a way of representing the query, a way of representing ...

doi:10.5120/2222-2831 fatcat:ixojrq2yrbedtj5uwzhquk7g7q

DIME: An Online Tool for the Visual Comparison of Cross-modal Retrieval Models [chapter]

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Retrieval of multi- and hyperspectral images using an interactive relevance feedback form of content-based image retrieval

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Improving Retrieval Quality Using Pseudo Relevance Feedback in Content-Based Image Retrieval

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Ferret

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Ferret

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Deep learning based search engine for biomedical images using convolutional neural networks

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Scalable object-class retrieval with approximate and top-k ranking

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Differential evolution based advised SVM for histopathalogical image analysis for skin cancer detection

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SEPIM: Secure and Efficient Private Image Matching

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VDMS: Efficient Big-Visual-Data Access for Machine Learning Workloads [article]

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An Abstract Image Representation Based on Edge Pixel Neighborhood Information (EPNI) [chapter]

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Comparison analysis on supervised learning based solutions for sports video categorization

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Efficient filtering with sketches in the ferret toolkit

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Recent Trends and Techniques in Image Enhancement using Differential Evolution- A Survey

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Content based Image Retrieval for Medical Images using Canny Edge Detection Algorithm

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