{"id":614871,"date":"2019-10-12T18:42:36","date_gmt":"2019-10-13T01:42:36","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=614871"},"modified":"2019-10-12T18:42:36","modified_gmt":"2019-10-13T01:42:36","slug":"factoring-repeated-content-within-and-among-images-2","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/factoring-repeated-content-within-and-among-images-2\/","title":{"rendered":"Factoring repeated content within and among images."},"content":{"rendered":"<p><span>We reduce transmission bandwidth and memory space for images by factoring their repeated content.\u00a0 A transform map and a condensed epitome are created such that all image blocks can be reconstructed from transformed epitome patches.\u00a0 The transforms may include affine deformation and color scaling to account for perspective and tonal variations across the image.\u00a0 The factored representation allows efficient random-access through a simple indirection, and can therefore be used for real-time texture mapping without expansion in memory.\u00a0 Our scheme is orthogonal to traditional image compression, in the sense that the epitome is amenable to further compression such as DXT.\u00a0 Moreover it allows a new mode of progressivity, whereby generic features appear before unique detail.\u00a0 Factoring is also effective across a collection of images, particularly in the context of image-based rendering.\u00a0 Eliminating redundant content lets us include textures that are several times as large in the same memory space.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We reduce transmission bandwidth and memory space for images by factoring their repeated content.\u00a0 A transform map and a condensed epitome are created such that all image blocks can be reconstructed from transformed epitome patches.\u00a0 The transforms may include affine deformation and color scaling to account for perspective and tonal variations across the image.\u00a0 The [&hellip;]<\/p>\n","protected":false},"featured_media":614877,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13551],"msr-publication-type":[193715],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-614871","msr-research-item","type-msr-research-item","status-publish","has-post-thumbnail","hentry","msr-research-area-graphics-and-multimedia","msr-locale-en_us"],"msr_publishername":"","msr_edition":"","msr_affiliation":"","msr_published_date":"2008-8-1","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"ACM Trans. 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