Kobets, Nataliya and Kovaliuk, Tetiana and Shekhet, Grigorii and Tielysheva, Tamara (2020) Analysis of Streaming Video Content and Generation Relevant Contextual Advertising CEUR Workshop Proceedings Vol- 2604, Proceedings of the 4th International Conference on Computational Linguistics and Intelligent Systems (COLINS 2020). Volume I: Main Conference Lviv, Ukraine, April 23-24, 2020., 2604 (1). pp. 829-843. ISSN 1613-0073
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Abstract
The article discusses the task of searching and selecting advertisements that match the content of the video. The problem is urgent due to the large amount of video and advertising content on the Internet. The authors set the task to develop information technology to solve this problem. The methods of recognizing the contours of objects using the Prewitt operator and searching for similar objects in streaming video based on perceptual hash functions are considered. An algorithm for recognizing speech from an audio track based on Mel-Frequency Cepstral Coefficients and an algorithm for searching for keywords in the text from a sound track based on TF-IDF are developed. The considered algorithms are used to determine contextual advertising for video content. The presented control example, the results of which indicate the efficiency of the algorithm.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | streaming video content; computer vision; classifications and recognition speech; contextual advertising |
| Subjects: | Це архівна тематика Київського університету імені Бориса Грінченка > Статті у наукометричних базах > Scopus |
| Divisions: | Це архівні підрозділи Київського університету імені Бориса Грінченка > Кафедра комп'ютерних наук і математики |
| Depositing User: | Наталія Михайлівна Кобець |
| Date Deposited: | 09 Nov 2020 09:44 |
| Last Modified: | 26 May 2021 06:59 |
| URI: | https://elibrary.kubg.edu.ua/id/eprint/32553 |
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