Data‐Driven Automatic Cropping Using Semantic Composition Search. (14th October 2014)

• Record Type: Journal Article
• Authors: Samii, A.; Měch, R.; Lin, Z.
• Is Part Of: Computer graphics forum. Volume 34:Number 1(2015)
• Page Start: 141
• Page End: 151
• Publication Date: 2014-10-14
• Subjects: Computer graphics -- Periodicals; 006.605
• DOI: 10.1111/cgf.12465
• Languages: English
• ISSNs: 0167-7055

Abstract

<abstract abstract-type="graphical" xml:lang="en" id="cgf12465-abs-0001"> <title> <x xml:space="preserve">Abstract</x> </title> <p>We present a data‐driven method for automatically cropping photographs to be well‐composed and aesthetically pleasing. Our method matches the composition of an amateur's photograph to an expert's using point correspondences. The correspondences are based on a novel high‐level local descriptor we term the 'Object Context'. Object Context is an extension of Shape Context: it is a descriptor encoding which objects and scene elements surround a given point. By searching a database of expertly composed images, we can find a crop window which makes an amateur's photograph closely match the composition of a database exemplar. We cull irrelevant matches in the database efficiently using a global descriptor which encodes the objects in the scene. <boxed-text content-type="graphic" position="anchor" orientation="portrait"><graphic position="anchor" mimetype="image" xlink:href="ark:/27927/pgj1v6dz6x" orientation="portrait" xlink:type="simple" xmlns:xlink="http://www.w3.org/1999/xlink" /></boxed-text></p> </abstract>