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О МЕТОДАХ ИДЕНТИФИКАЦИИ ГРАФИЧЕСКИХ ОБЪЕКТОВ НА ОСНОВЕ МЕТРИКИ DTW
Гл. 30. С. 89–91.
Gostev I. M.
In book
Юго-западный государственный университет, 2018.
Melman A., Senyukova O., Evsyutin O., В кн.: Инжиниринг и телекоммуникации - EN&T 2024: сборник тезисов XI международной конференции.: МФТИ, 2024. С. 147–149.
Применение цифровых водяных знаков (ЦВЗ) является перспективным средством защиты авторских прав на цифровой контент. В этом исследовании предлагается новый алгоритм невидимого встраивания ЦВЗ в гибридную пространственно-частотную область изображений с применением метаэвристической оптимизации, который отличается устойчивостью к различным атакам обработки изображений, включая JPEG-сжатие. ...
Added: April 21, 2025
Melman A., Evsyutin O., Senyukova O., Компьютерная оптика 2025 Т. 49 № 2 С. 273–281
The widespread use of digital content makes the task of protecting author’s and owner’s rights increasingly important, in particular with regard to digital images. Digital watermarking technology is an effective tool that solves many problems associated with proving authorship of images, verifying authenticity, and tracking illegal copying. An effective watermarking algorithm requires achieving high levels ...
Added: March 8, 2025
Melman A., Evsyutin O., Senyukova O., В кн.: Инжиниринг и телекоммуникации - EN&T - 2023: сборник тезисов X международной конференции.: МФТИ, 2023. С. 295–301.
С распространением цифрового контента в современном ми-ре проблема защиты авторских прав становится всё более актуальной. Эффективным решением данной проблемы является применение техноло-гии цифровых водяных знаков (ЦВЗ), однако достижение высоких показа-телей незаметности и робастности встраивания является сложной задачей. В этом исследовании предложен новый алгоритм множественного встраи-вания ЦВЗ в гибридный домен цифровых изображений, основанный на применении метаэвристической ...
Added: September 10, 2024
Eremeev A., Klokov A., Zilberman A. et al., Cambridge: Cambridge Scholars Publishing, 2024.
In the imaging category, the book unveils a pioneering technique based on radio tomosynthesis. Initially proven effective in detecting breast anomalies, this imaging method is now under evaluation for its potential in identifying brain anomalies. For non-imaging diagnostics, it delves into Fourier-transform infrared spectroscopy (FTIR), a technique known for its speed and reliability. The book ...
Added: April 22, 2024
Bhimani K. R., Ghildiyal S., Mani G. et al., IEEE Access 2020 Article 1
In today’s developing technology, industries are playing important role for the betterment of life and society. But in industries many functions are running under hazardous conditions, so demand of human free interaction arises, which can be fulfilled by robotics. In Chemical, Oil & Gas, Petrochemicals and many manufacturing industries today we need human safety on ...
Added: October 14, 2022
Bhimani K. R., Gabino R. V., Prakosa J., IEEE Access 2019 Article 1
This paper describes the implementation of
two digital image processing methods for pattern
recognition, by color boundary method and the Haar
Cascade Classifier to detect objects in a video stream,
both methods implemented on Python 3 and OpenCV.
Patterns detection of images obtained from drones has
advantages over traditional video recording drones. The
drone has a streaming video system, based on the
Raspberry ...
Added: October 14, 2022
Ali N., Alshahrani A., Alghamdi A. M. et al., Applied Sciences (Switzerland) 2022 Vol. 12 No. 13 Article 6378
Organizations analyze customers’ personal data to understand and model their behavior. Identifying customers’ gender is a significant factor in analyzing markets that help plan the promotional campaigns, determine target customers and provide relevant offers. Several techniques were developed to analyze different types of data, including text, image, speech, and biometrics, to identify the gender of ...
Added: October 4, 2022
Соколова А. Д., Savchenko A., Nikolenko S. I., Компьютерная оптика 2022 Т. 46 № 5 С. 801–807
Одной из основных проблем современных нейросетевых дескрипторов в задаче идентификации лиц является малое число обучающих примеров определенного типа: изображения плохого качества, разный масштаб или освещение, лица детей, пожилых людей, редкие расы. В результате точность распознавания оказывается низкой для входных изображений, не похожих на большинство изображений в наборе данных, используемом для настройки метода извлечения признаков. В ...
Added: September 29, 2022
Korzhavina E., Наука и образование: новое время 2019 № 4 С. 73–78
The issues of teaching IT technologies in the Moscow College of Geodesy and Cartography for future specialists in the field of topographic survey, aerial photography, interpretation of satellite images, territory mapping, navigation and geographic information systems, and the creation of printed materials (maps, atlases, encyclopedias, guidebooks), and development of land plans are considered. ...
Added: April 7, 2021
Savchenko A., Grechikhin I., Информационные технологии 2020 Т. 26 № 10 С. 586–593
Предложен метод детектирования категорий нескольких различных видов объектов на фотографиях в мобильных устройствах. Вначале с использованием известных нейросетевых детекторов выделяются искомые объекты. Их характерные признаки извлекаются с помощью многозадачной нейросетевой модели с несколькими выходными слоями — по одному на каждый вид объекта. Представлены экспериментальные результаты для распознавания пород собак и кошек и группировки фотографий одного ...
Added: October 29, 2020
Samara: CEUR Workshop Proceedings, 2020.
This volume contains the papers presented at the session "Image Processing and Earth Remote Sensing" within the VI International Conference on Information Technology and Nanotechnology (ITNT-2020). The conference was held in Samara, Russia, during May 26-29, 2020 (itnt-conf.org). The conference is a forum for leading researchers from all over the world aimed to discuss the ...
Added: October 1, 2020
Tsvetkovskaya I. I., Tekutieva N. V., Prokofyeva E. N. et al., , in: 2020 Moscow Workshop on Electronic and Networking Technologies (MWENT).: IEEE, 2020. P. 1–5.
The availability of high-resolution satellite images obtained through space radio communications offers the opportunity to use the most advanced technologies and techniques for analyzing remote sensing data. The paper discusses the data obtained with the use of ground-based, airborne or space-based filming equipment, which makes it possible to obtain images in one or several sections ...
Added: June 23, 2020
Cham: Springer, 2020.
This open access book constitutes the proceedings of the 18th International Conference on Intelligent Data Analysis, IDA 2020, held in Konstanz, Germany, in April 2020.
The 45 full papers presented in this volume were carefully reviewed and selected from 114 submissions. Advancing Intelligent Data Analysis requires novel, potentially game-changing ideas. IDA’s mission is to promote ideas over performance: a ...
Added: May 17, 2020
Skirnevskiy I. P., Pustovit A. V., Abdrashitova M.O., Journal of Physics: Conference Series 2017 Vol. 803 No. 1 P. 1–7
This article describes expediency of using a graphics processing unit (GPU) in big data processing in the context of digital images processing. It provides a short description of a parallel computing technology and its usage in different areas, definition of the image noise and a brief overview of some noise removal algorithms. It also describes ...
Added: October 31, 2019
Sen’ko O. V., Kiselyova N. N., Dudarev V. et al., , in: Selected Papers of the XX International Conference on Data Analytics and Management in Data Intensive Domains (DAMDID/RCDL 2018). Moscow, Russia, October 9-12, 2018.: CEUR-WS, 2018. P. 152–156.
Various machine learning methods («Recognition» package and «Scikit-learn» package for Python) accuracy comparison was made on example of inorganic chemistry tasks solution. The crossvalidation and the ROC-analysis were applied to accuracy estimation ...
Added: October 31, 2019
Savchenko A., Дёмочкин К. В., Savchenko L., Optical Memory and Neural Networks (Information Optics) 2020 Vol. 29 No. 4 P. 297–304
In this paper, we analyze effective methods of multi-label classification of image sets in development of visual recommender systems. We propose a two-step algorithm, which at the first step performs fine-tuning of a convolutional neural network for extraction of visual features. At the second stage, the algorithm concatenates the obtained feature vectors of each image ...
Added: October 25, 2019
И. С. Гречихин, А. В. Савченко, Информационные технологии 2019 Т. 25 № 9 С. 538–544
Предложен метод извлечения предпочтений пользователей в результате анализа галереи их мобильных
устройств. На первом этапе выделяются публичные фото- и видеоизображения, не содержащие лиц из предварительно выделенных кластеров. На втором этапе такие изображения обрабатываются на сервере с помощью высокоточных детекторов объектов. Объекты на остальных (персональных) фото- и видеоизбражениях детектируются непосредственно на устройстве. Представлены экспериментальные результаты сравнительного анализа нескольких предварительно ...
Added: September 23, 2019
Springer, 2019.
This 2-volume set constitutes the refereed proceedings of the 9th Iberian Conference on Pattern Recognition and Image Analysis, IbPRIA 2019, held in Madrid, Spain, in July 2019.
The 99 papers in these volumes were carefully reviewed and selected from 137 submissions. They are organized in topical sections named:
Part I: best ranked papers; machine learning; pattern recognition; ...
Added: September 23, 2019
Козачок А. В., Копылов С. А., Мещеряков Р. В. et al., Компьютерная оптика 2017 Т. 41 № 5 С. 743–755
The development of an Internet of things concept has led to an essential increase in the amount of data processed via the Internet. Multimedia data constitute a significant proportion of this information. This type of data often contains user’s personal information or copyright protected data. The issue of copyright protection of digital imagery has remained ...
Added: September 5, 2019
Ростов н/Д: Ростовский государственный экономический университет "РИНХ", 2018.
The conference proceedings present the results of research of young scientists of the leading scientific organizations of Russia on a wide range of topical problems of Informatics, management and system analysis. Interdisciplinary research and intensive use of data are key features of modern science. The IMSA-2018 conference (Informatics, Management and Systems Analysis) aims to establish ...
Added: September 3, 2019
Dubatovka A., Mikhailova E., Zotov M. et al., , in: Communications in Computer and Information ScienceVol. 615: Databases and Information Systems - 12th International Baltic Conference.: Springer, 2016. P. 113–125.
The paper presents algorithms for automatic detection of non-stationary periods of cardiac rhythm during professional activity. While working and subsequent rest operator passes through the phases of mobilization, stabilization, work, recovery and the rest. The amplitude and frequency of non-stationary periods of cardiac rhythm indicates the human resistance to stressful conditions. We introduce and analyze ...
Added: February 13, 2019