Content-awareimageresizing

由SAvidan著作·2023·被引用2412次—Wepresentasimpleimageoperatorcalledseamcarvingthatsupportscontent-awareimageresizingforbothreductionandexpansion.Aseamisan ...,Seamcarving(orliquidrescaling)isanalgorithmforcontent-awareimageresizing,developedbyShaiAvidan,ofMitsubishiElectricResearchLaboratories ...,2023年5月23日—Content-AwareScaleresizesanimagewithoutchangingimportantvisualcontentsuchaspeople,b...

Seam Carving for Content

由 S Avidan 著作 · 2023 · 被引用 2412 次 — We present a simple image operator called seam carving that supports content-aware image resizing for both reduction and expansion. A seam is an ...

Seam carving

Seam carving (or liquid rescaling) is an algorithm for content-aware image resizing, developed by Shai Avidan, of Mitsubishi Electric Research Laboratories ...

Content

2023年5月23日 — Content-Aware Scale resizes an image without changing important visual content such as people, buildings, animals, and so forth. While normal ...

Content Aware Image Resizing with Deep Learning

2020年5月1日 — This post is about how we can combine classical and deep learning approaches to content aware image resizing. Images must often be resized ...

Content-Aware Image Resizing

由 P Zargham 著作 · 被引用 2 次 — Abstract— The purpose of this project is to implement a content- aware image resizing method. The algorithm is optimized and then applied to a database of 100 ...

Content

2021年4月16日 — Content-aware image resizing might be applied when it comes to changing the image proportions (i.e. reducing the width while keeping the height) ...

Content

Content-aware scale or resize your eCommerce images in one go. Simplify your workflow and save 9-10 minutes over Photoshop.

Content

由 B Wang 著作 · 2023 — A novel content-aware image resizing mechanism based on composition detection and composition rules is proposed to address the lack of esthetic perception ...

Listary 6.3 強化系統的即時搜尋功能

Listary 6.3 強化系統的即時搜尋功能

Listary是一款強化即時搜尋功能的好工具!使用電腦偶爾都會有搜尋檔案的動作,像是我們玩系統常常有機會進入到system32的目錄,要找某個檔案時,有些人使用眼睛慢慢地找,我通常敲打檔案名稱前幾個字來尋找,當...