title: Ð¡ÑÐ°Ð±Ð¸Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ Ð¿ÑÐ¸ ÑÑÑÐ½Ð¾Ð¹ Ð²Ð¸Ð´ÐµÐ¾ÑÑÐµÐ¼ÐºÐµ Ð¿ÑÑÐµÐ¼ ÑÐ³Ð»Ð°Ð¶Ð¸Ð²Ð°Ð½Ð¸Ñ ÑÑÐ°ÐµÐºÑÐ¾ÑÐ¸Ð¸ ÐºÐ°Ð¼ÐµÑÑ
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: Image stabilization in manual video filming via camera trajectory smoothing
Creators: name: ÐÐ°ÑÐ¸Ð»ÑÐµÐ², ÐÐ»ÐµÐºÑÐµÐ¹
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: 2023
Subjects: ÑÑÐ°Ð±Ð¸Ð»Ð¸Ð·Ð°ÑÐ¸Ñ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð°Ñ ÑÑÐ°Ð±Ð¸Ð»Ð¸Ð·Ð°ÑÐ¸Ñ
ÑÐ³Ð»Ð°Ð¶Ð¸Ð²Ð°Ð½Ð¸Ðµ ÑÐ°ÐµÐºÑÐ¾ÑÐ¸Ð¸
ÐºÐ»ÑÑÐµÐ²ÑÐµ ÑÐ¾ÑÐºÐ¸
Ð¾Ð¿ÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð¿Ð¾ÑÐ¾Ðº
Ð¾ÑÐµÐ½ÐºÐ° Ð¿Ð°ÑÐ°Ð¼ÐµÑÑÐ¾Ð² Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ
Ð¿Ð¾ÑÑÐ¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ° Ð²Ð¸Ð´ÐµÐ¾Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
image stabilization
program stabilization
trajectory smoothing
feature points
optical flow
camera motion estimation
video postprocessing

description: ÐÐ°Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð¿Ð¾ÑÐ²ÑÑÐµÐ½Ð° ÑÐ°Ð·ÑÐ°Ð±Ð¾ÑÐºÐµ Ð¼ÐµÑÐ¾Ð´Ð° Ð´Ð»Ñ Ð¿ÑÐ¾Ð³ÑÐ°Ð¼Ð¼Ð½Ð¾Ð¹ ÑÑÐ°Ð±Ð¸Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ (Ð¿Ð¾ÑÑÐ¾Ð±ÑÐ°Ð±Ð¾ÑÐºÐ¸ Ð²Ð¸Ð´ÐµÐ¾Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ), Ð·Ð°Ð¿Ð¸ÑÐ°Ð½Ð½Ð¾Ð³Ð¾ Ð¿ÑÐ¸ ÑÑÑÐ½Ð¾Ð¹ ÑÑÑÐ¼ÐºÐµ, Ð´Ð»Ñ ÑÐ´Ð°Ð»ÐµÐ½Ð¸Ñ Ð°ÑÑÐµÑÐ°ÐºÑÐ¾Ð² Â«Ð´ÑÐ¾Ð¶Ð°Ð½Ð¸ÑÂ» Ð¸ Â«ÑÑÑÑÐºÐ¸Â», ÑÐ¾ ÐµÑÑÑ Ð¿Ð¾Ð´Ð°Ð²Ð»ÐµÐ½Ð¸Ñ Ð½Ð¸Ð·ÐºÐ¾ÑÐ°ÑÑÐ¾ÑÐ½ÑÑ ÐºÐ¾Ð»ÐµÐ±Ð°Ð½Ð¸Ð¹. Ð ÐºÐ°ÑÐµÑÑÐ²Ðµ Ð¾ÑÐ½Ð¾Ð²Ñ Ð´Ð»Ñ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð±ÑÐ´ÐµÑ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°ÑÑÑÑ ÐºÐ»Ð°ÑÑÐ¸ÑÐµÑÐºÐ¸Ð¹ Ð°Ð»Ð³Ð¾ÑÐ¸ÑÐ¼ Ñ Ð·Ð°Ð¼ÐµÐ½Ð¾Ð¹ Ð¿Ð°ÑÑ ÑÑÑÐ¿ÐµÐ½ÐµÐ¹ (Ð¾ÑÐ²ÐµÑÐ°ÑÑÐµÐ¹ Ð·Ð° Ð²ÑÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ ÐºÐ»ÑÑÐµÐ²ÑÑ ÑÐ¾ÑÐµÐº Ð½Ð° ÐºÐ°Ð´ÑÐµ Ð¸ Ð¾ÑÐ²ÐµÑÐ°ÑÑÐµÐ¹ Ð·Ð° Ð¾Ð¿ÑÐµÐ´ÐµÐ»ÐµÐ½Ð¸Ðµ Ð¿Ð°Ñ ÑÐ¾ÑÐµÐº Ð² Ð¿Ð¾ÑÐ»ÐµÐ´Ð¾Ð²Ð°ÑÐµÐ»ÑÐ½ÑÑ ÐºÐ°Ð´ÑÐ°Ñ) Ð½Ð° Ð±Ð¾Ð»ÐµÐµ Ð¿ÑÐ¾Ð³ÑÐµÑÑÐ¸Ð²Ð½ÑÐµ ÑÐ¾Ð²ÑÐµÐ¼ÐµÐ½Ð½ÑÐµ ÑÐµÐ°Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸, Ð¿Ð¾Ð·Ð²Ð¾Ð»ÑÑÑÐ¸Ðµ Ð½Ð°Ð¹ÑÐ¸ Ð±Ð¾Ð»ÑÑÐµ ÐºÐ»ÑÑÐµÐ²ÑÑ ÑÐ¾ÑÐµÐº Ð»ÑÑÑÐµÐ³Ð¾ ÐºÐ°ÑÐµÑÑÐ²Ð° Ð´Ð»Ñ Ð¿Ð¾Ð²ÑÑÐµÐ½Ð¸Ñ ÑÑÑÐµÐºÑÐ¸Ð²Ð½Ð¾ÑÑÐ¸ Ð¼ÐµÑÐ¾Ð´Ð° Ð¿ÑÐ¸ ÑÑÐ°Ð±Ð¸Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð² ÑÑÐ»Ð¾Ð²Ð¸ÑÑ Ð¿ÑÐµÐ¾Ð±Ð»Ð°Ð´Ð°Ð½Ð¸Ñ Ð½Ð° Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¸ Ð¾Ð´Ð½Ð¾ÑÐ¾Ð´Ð½ÑÑ ÑÐµÐºÑÑÑÑ Ð¸/Ð¸Ð»Ð¸ Ð²ÑÐµÐ¼ÐµÐ½Ð½Ð¾Ð³Ð¾ Ð¿Ð°ÑÐ°Ð»Ð»Ð°ÐºÑÐ°, SuperPoint Ð¸ SuperGlue ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²ÐµÐ½Ð½Ð¾. Ð ÐµÐ°Ð»Ð¸Ð·Ð¾Ð²Ð°Ð½Ñ Ð´Ð²Ðµ Ð²ÐµÑÑÐ¸Ð¸: Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ Ð´Ð°Ð½Ð½Ð¾Ð³Ð¾ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð° Ð¸ ÑÐ¾ ÑÑÐ°Ð½Ð´ÑÐ°ÑÐ½ÑÐ¼ Ð´ÐµÑÐµÐºÑÐ¾ÑÐ¾Ð¼ ÑÐ³Ð»Ð¾Ð² Ð¨Ð¸-Ð¢Ð¾Ð¼Ð°ÑÐ¸ Ð¸ BF-Ð¿Ð¾Ð´ÑÐ¾Ð´Ð¾Ð¼ Ðº Ð¿Ð¾Ð¸ÑÐºÑ Ð¿Ð°Ñ ÑÐ¾ÑÐµÐº. ÐÐ°ÑÐµÑÑÐ²Ð¾ ÑÑÐ°Ð±Ð¸Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¾ÑÐµÐ½Ð¸Ð²Ð°ÐµÑÑÑ Ñ Ð¿Ð¾Ð¼Ð¾ÑÑÑ Ð¼ÐµÑÑÐ¸ÐºÐ¸ Video-BLIINDSâ Ð±ÐµÐ·ÑÐµÑÐµÑÐµÐ½ÑÐ½Ð¾Ð¹ Ð¼ÐµÑÑÐ¸ÐºÐ¸ Ð¾Ð±ÑÐµÐºÑÐ¸Ð²Ð½Ð¾Ð¹ Ð¾ÑÐµÐ½ÐºÐ¸ ÐºÐ°ÑÐµÑÑÐ²Ð°, Ð² ÐºÐ¾ÑÐ¾ÑÐ¾Ð¹ ÑÑÐ¸ÑÑÐ²Ð°ÐµÑÑÑ ÐºÐ°Ðº ÑÐ°ÑÐ°ÐºÑÐµÑ Ð¼ÐµÐ¶ÐºÐ°Ð´ÑÐ¾Ð²ÑÑ Ð¿ÐµÑÐµÑÐ¾Ð´Ð¾Ð², ÑÐ°Ðº Ð¸ ÑÐ¾Ð¾ÑÐ²ÐµÑÑÑÐ²Ð¸Ðµ ÐµÑÑÐµÑÑÐ²ÐµÐ½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸, Ð¾ÑÐ½Ð¾ÑÐµÐ½Ð¸Ðµ Ð³Ð»Ð¾Ð±Ð°Ð»ÑÐ½Ð¾Ð³Ð¾ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ Ðº Ð»Ð¾ÐºÐ°Ð»ÑÐ½Ð¾Ð¼Ñ, ÐºÐ¾Ð³ÐµÑÐµÐ½ÑÐ½Ð¾ÑÑÑ Ð´Ð²Ð¸Ð¶ÐµÐ½Ð¸Ñ. ÐÐ°Ð¿Ð¸ÑÐ°Ð½ Ð¿ÑÐ¾ÑÑÐ¾Ð¹ HTTP-ÐºÐ»Ð¸ÐµÐ½Ñ Ð´Ð»Ñ Ð²ÑÐ±Ð¾ÑÐ° Ð²Ð¸Ð´ÐµÐ¾ Ð´Ð»Ñ ÑÑÐ°Ð±Ð¸Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ð¸ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð° Ðº ÑÑÐ°Ð±Ð¸Ð»Ð¸Ð·Ð°ÑÐ¸Ð¸ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÑÐ°Ð½Ð´Ð°ÑÑÐ½Ð¾Ð³Ð¾ Ð¸Ð»Ð¸ Ð½ÐµÐ¹ÑÐ¾ÑÐµÑÐµÐ²Ð¾Ð³Ð¾ Ð¿Ð¾Ð´ÑÐ¾Ð´Ð°, Ð° Ð² Ð¿Ð¾ÑÐ»ÐµÐ´Ð½ÐµÐ¼ ÑÐ»ÑÑÐ°Ðµ ÑÐ°ÐºÐ¶Ðµ Ñ ÑÑÑÑÐ¾Ð¼ Ð²ÑÐ±Ð¾ÑÐ° ÐºÐ¾ÑÑÑÐ¸ÑÐ¸ÐµÐ½ÑÐ¾Ð² Ð¿ÑÐµÐ´Ð¾Ð±ÑÑÐµÐ½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸: Ð´Ð»Ñ ÑÐ»Ð¸ÑÑ Ð¸ Ð´Ð»Ñ Ð²Ð¸Ð´ÐµÐ¾, ÑÐ½ÑÑÑÑ Ð²Ð½ÑÑÑÐ¸ Ð¿Ð¾Ð¼ÐµÑÐµÐ½Ð¸Ñ.
description: This paper is dedicated to developing of video postprocessing method for manual video filming, removing from video-fragment such artefacts as Â«jitterÂ» or Â«shakingÂ», i. e. low-frequency oscillation suppression. As a basis for implementation the classic algorithm will be used with two steps (the one responsible for feature point detection and the one responsible for feature pointsâ pairs detection in consecutive frames) replaced with more progressive modern implementations, allowing to detect more high quality feature points to increase the methodâs efficiency when there is a video stabilization with uniform textures prevalence and/or time parallax, SuperPoint and SuperGlue accordingly. Two versions were implemented: with mentioned neural network approach and with standard Shi-Tomasi corner detector and BF-Matcher. Stabilization quality is evaluated using Video-BLIINDS metrics â no-reference objective quality assessment metrics, which rates as the nature of interframe transitions as the correspondence with natural model, global to localmotion ratio,motion coherrency. Simple HTTP-client was implemented to choose the stabilization approach with either standard or neural-network approach, in the last case the pretrained model coefficients choice is taking into account: either for outdoors of indoors video.