Photo collections, mosaics, image triage, image editing, page layout, constraint satisfaction, user-centered designCreating an artifact that captures the story or memory from a large photo collection is a difficult task, because the tools available are either too difficult to learn, or oversimplified to the point that they lack flexibility. Individual techniques have been developed to automate parts of the selection-editing-composition cycle, but relatively little has been done to strike the right overall balance between the fully automatic and the fully manual. In this paper, we present miCollage, which attempts to piece together individual technologies to create a compelling collage authoring experience. The system consists of three main components. In the selection component, the system can make proactive suggestions about which photos to add to the collage as well as help the user to find similar or related photos. In the editing component, the system applies automatic cropping and enhancement to the images. In the layout component, the system suggests alternative layouts but is still able to accommodate manual changes, while satisfying various spatial constraints. The user interface connects the components seamlessly, allowing a best of both worlds between fully manual and fully automatic collage authoring. ABSTRACTCreating an artifact that captures the story or memory from a large photo collection is a difficult task, because the tools available are either too difficult to learn, or oversimplified to the point that they lack flexibility. Individual techniques have been developed to automate parts of the selection-editing-composition cycle, but relatively little has been done to strike the right overall balance between the fully automatic and the fully manual. In this paper, we present miCollage, which attempts to piece together individual technologies to create a compelling collage authoring experience. The system consists of three main components. In the selection component, the system can make proactive suggestions about which photos to add to the collage as well as help the user to find similar or related photos. In the editing component, the system applies automatic cropping and enhancement to the images. In the layout component, the system suggests alternative layouts but is still able to accommodate manual changes, while satisfying various spatial constraints. The user interface connects the components seamlessly, allowing a best of both worlds between fully manual and fully automatic collage authoring.
Falling hardware costs have prompted an explosion in casual video capture by domestic users. Yet, this video is infrequently accessed post-capture and often lies dormant on users' PCs. We present a system to breathe life into home video repositories, drawing upon artistic stylization to create a "Digital Ambient Display" that automatically selects, stylizes and transitions between videos in a semantically meaningful sequence. We present a novel algorithm based on multi-label graph cut for segmenting video into temporally coherent region maps. These maps are used to both stylize video into cartoons and paintings, and measure visual similarity between frames for smooth sequence transitions. We demonstrate coherent segmentation and stylization over a variety of home videos.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.