title: Ð£ÑÐ¸Ð»ÐµÐ½Ð¸Ðµ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ð¹ Ð½Ð° Ð²Ð¸Ð´ÐµÐ¾
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Video motion magnification
Creators: name: ÐÐ¸ÑÐµÐ½ÐµÐ², ÐÐ»ÐµÐºÑÐ°Ð½Ð´Ñ
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2021
Subjects: ÑÑÐ¸Ð»ÐµÐ½Ð¸Ðµ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ð¹
Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð²Ð¸Ð´ÐµÐ¾
Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¿Ð¾ÑÐ¾Ðº
Ð¿ÑÐµÐ¾Ð±ÑÐ°Ð·Ð¾Ð²Ð°Ð½Ð¸Ðµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹
ÑÐ²ÑÑÑÐ¾ÑÐ½ÑÐµ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
motion magnification
video processing
optical flow
image conversion
convolutional neural network

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° Ð¸Ð·ÑÑÐµÐ½Ð¸Ñ Ð¿ÑÐ¸Ð¼ÐµÐ½Ð¸Ð¼Ð¾ÑÑÐ¸ Ð¼ÐµÑÐ¾Ð´Ð° ÑÑÐ¸Ð»ÐµÐ½Ð¸Ñ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ð¹, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð½Ð° Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¾Ð¼ Ð¿Ð¾ÑÐ¾ÐºÐµ. Ð ÑÐ¾Ð´Ðµ Ð²ÑÐ¿Ð¾Ð»Ð½ÐµÐ½Ð¸Ñ ÑÐ°Ð±Ð¾ÑÑ Ð±ÑÐ»Ð¸ ÑÐµÑÐµÐ½Ñ ÑÐ»ÐµÐ´ÑÑÑÐ¸Ðµ Ð·Ð°Ð´Ð°ÑÐ¸: 1. ÐÐ·ÑÑÐµÐ½Ð¸Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² ÑÐµÑÐµÐ½Ð¸Ñ Ð·Ð°Ð´Ð°ÑÐ¸ ÑÑÐ¸Ð»ÐµÐ½Ð¸Ñ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ð¹. 2. ÐÐ·ÑÑÐµÐ½Ð¸Ðµ ÐºÐ»Ð°ÑÑÐ¸ÑÐµÑÐºÐ¸Ñ Ð¼ÐµÑÐ¾Ð´Ð¾Ð² Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð¸Ñ Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¿Ð¾ÑÐ¾ÐºÐ° Ð¸ Ð¼ÐµÑÐ¾Ð´Ð¾Ð², Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½ÑÑ Ð½Ð° Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÑÑ. 3. Ð ÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¼Ð¾Ð´ÐµÐ»Ð¸ ÑÑÐ¸Ð»ÐµÐ½Ð¸Ñ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ð¹, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½Ð¾Ð¹ Ð½Ð° Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð¸Ð¸ Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¿Ð¾ÑÐ¾ÐºÐ°. 4. Ð¡ÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ ÑÑÑÐµÑÑÐ²ÑÑÑÐ¸Ñ ÑÐµÑÐµÐ½Ð¸Ñ Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½ÑÐ¼ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð¼. 5. Ð¡ÑÐ°Ð²Ð½ÐµÐ½Ð¸Ðµ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð¾Ð², Ð² Ð¾ÑÐ½Ð¾Ð²Ðµ ÐºÐ¾ÑÐ¾ÑÑÑ Ð»ÐµÐ¶Ð¸Ñ ÐºÐ»Ð°ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¼ÐµÑÐ¾Ð´ Ð²ÑÑÐ¸ÑÐ»ÐµÐ½Ð¸Ñ Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¾Ð³Ð¾ Ð¿Ð¾ÑÐ¾ÐºÐ° Ð¸ Ð¼ÐµÑÐ¾Ð´, Ð¾ÑÐ½Ð¾Ð²Ð°Ð½Ð½ÑÐ¹ Ð½Ð° Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ ÑÐµÑÐ¸. ÐÐ¾ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÐ°Ð¼ Ð¿ÑÐ¾Ð²ÐµÐ´ÐµÐ½Ð½ÑÑ ÑÐºÑÐ¿ÐµÑÐ¸Ð¼ÐµÐ½ÑÐ¾Ð² Ð¼Ð¾Ð¶Ð½Ð¾ ÑÐ´ÐµÐ»Ð°ÑÑ Ð²ÑÐ²Ð¾Ð´, ÑÑÐ¾ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½Ð°Ñ Ð¼Ð¾Ð´ÐµÐ»Ñ Ð¿Ð¾ÐºÐ°Ð·ÑÐ²Ð°ÐµÑ ÑÐµÐ·ÑÐ»ÑÑÐ°ÑÑ Ð²ÑÑÐµ, ÑÐµÐ¼ ÑÑÑÐµÑÑÐ²ÑÑÑÐµÐµ Ð»ÑÑÑÐµÐµ ÑÐµÑÐµÐ½Ð¸Ðµ. ÐÑÐµÐ¸Ð¼ÑÑÐµÑÑÐ²Ð¾ ÑÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼Ð° Ð·Ð°ÐºÐ»ÑÑÐ°ÐµÑÑÑ Ð² ÑÐµÑÐµÐ½Ð¸Ð¸ Ð¿ÑÐ¾Ð±Ð»ÐµÐ¼ Ñ ÑÐ°Ð·Ð¼ÑÑÐ¸ÐµÐ¼ Ð¸ Ð¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¾Ð¹ Ð³ÑÐ°Ð½Ð¸Ñ Ð¾Ð±ÑÐµÐºÑÐ¾Ð².
description: This work is devoted to the study of the applicability of the method of motion amplification based on the optical flow. In the course of the work, the following tasks were solved: 1. Study of the existing methods of solving the problem of strengthening movements. 2. Study of classical methods of optical flow calculation and methods based on neural networks. 3. Implementation of motion magnification model based on the optical flow calculation. 4. Comparison of existing solutions with the implemented algorithm. 5. Comparison of algorithms based on the classical method of calculating the optical flow and the method based on the neural network. Based on the results of the experiments, we can conclude that the implemented model shows better results than the existing state-of-the-art solution.The advantage of the implemented algorithm is the solution of problems with blurring and processing the boundaries of objects.