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Rendering from Unstructured Collections of Images
, 2002
"... Computer graphics researchers recently have turned to image-based rendering to achieve the goal of photorealistic graphics. Instead of constructing a scene with millions of polygons, the scene is represented by a collection of photographs along with a greatly simplified geometric model. This simple ..."
Abstract
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(ULR). ULR is an image-based rendering algorithm that is specifically designed to work with unstructured (i.e., irregularly arranged) collections of images. The algorithm is unique in that it is capable of using any amount of geometric or image information
LIBRARIES Rendering from Unstructured Collections of Images
, 2002
"... Computer graphics researchers recently have turned to image-based rendering to achieve the goal of photorealistic graphics. Instead of constructing a scene with millions of poly-gons, the scene is represented by a collection of photographs along with a greatly simplified geometric model. This simple ..."
Abstract
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-graph rendering (ULR). ULR is an image-based rendering algorithm that is specifically designed to work with unstructured (i.e., irregularly arranged) collections of images. The algorithm is unique in that it is capable of using any amount of geometric or image infor-mation that is available about a scene
Photo tourism: Exploring photo collections in 3D
- IN PROC. ACM SIGGRAPH
, 2006
"... We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the viewpoint of each photograph as well as a sparse 3D model of th ..."
Abstract
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Cited by 677 (37 self)
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We present a system for interactively browsing and exploring large unstructured collections of photographs of a scene using a novel 3D interface. Our system consists of an image-based modeling front end that automatically computes the viewpoint of each photograph as well as a sparse 3D model
Learning structured appearance models from captioned images of cluttered scenes, in: ICCV, 2007. 34 We learn to recognize exemplars from unstructured collections of captioned images. - Using language, we perceptually grouping local features into meaningfu
"... Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to learn both the names and appearances of the objects. Only a small number of local features within any given image are associated with a particular caption word. We describe a conne ..."
Abstract
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Cited by 15 (6 self)
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Given an unstructured collection of captioned images of cluttered scenes featuring a variety of objects, our goal is to learn both the names and appearances of the objects. Only a small number of local features within any given image are associated with a particular caption word. We describe a
Building rome in a day.
- In Proc. Int. Conf. on Computer Vision.
, 2009
"... We present a system that can reconstruct 3D geometry from large, unorganized collections of photographs such as those found by searching for a given city (e.g., Rome) on Internet photo-sharing sites. Our system is built on a set of new, distributed computer vision algorithms for image matching and ..."
Abstract
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Cited by 285 (30 self)
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, extracting high quality 3D models from such a collection is challenging for several reasons. First, the photos are unstructured-they are taken in no particular order and we have no control over the distribution of camera viewpoints. Second, they are uncalibrated-the photos are taken by thousands of different
Videoscapes: Exploring sparse, unstructured video collections
- In ACM SIGGRAPH
, 2012
"... Figure 1: A Videoscape formed from casually captured videos and an interactively-formed path through it, consisting of individual videos and automatically generated transitions. A video frame from one such transition is shown here: a 3D reconstruction of Big Ben automatically formed from the frames ..."
Abstract
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Cited by 11 (3 self)
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across videos, viewed from a point in space between cameras and projected with video frames. The abundance of mobile devices and digital cameras with video capture makes it easy to obtain large collections of video clips that contain the same location, environment, or event. However, such an unstructured
World explorer: Visualizing aggregate data from unstructured text in geo-referenced collections
- In Proceedings of the Seventh ACM/IEEE-CS Joint Conference on Digital Libraries
, 2007
"... The availability of map interfaces and location-aware devices makes a growing amount of unstructured, geo-referenced information available on the Web. This type of information can be valuable not only for browsing, finding and making sense of individual items, but also in aggregate form to help unde ..."
Abstract
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Cited by 99 (5 self)
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understand data trends and features. In particular, over twenty million geo-referenced photos are now available on Flickr, a photo-sharing website – the first major collection of its kind. These photos are often associated with userentered unstructured text labels (i.e., tags). We show how we analyze
Simple BM25 Extension to Multiple Weighted Fields
, 2004
"... This paper describes a simple way of adapting the BM25 ranking formula to deal with structured documents. In the past it has been common to compute scores for the individual fields (e.g. title and body) independently and then combine these scores (typically linearly) to arrive at a final score for t ..."
Abstract
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Cited by 213 (11 self)
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is applied. In this scheme, a structured document with a title weight of two is mapped to an unstructured document with the title content repeated twice. This more verbose unstructured document is then ranked in the usual way. We demonstrate the advantages of this method with experiments on Reuters Vol1
On Unbiased Sampling for Unstructured Peer-to-Peer Networks
- in Proc. ACM IMC
, 2006
"... This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-peer systems. Due to the large size and dynamic nature of these systems, measuring the quantities of interest on every peer ..."
Abstract
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Cited by 81 (8 self)
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This paper addresses the difficult problem of selecting representative samples of peer properties (e.g., degree, link bandwidth, number of files shared) in unstructured peer-to-peer systems. Due to the large size and dynamic nature of these systems, measuring the quantities of interest on every
Data Sieving and Collective I/o In Romio
, 1999
"... The I/O access patterns of parallel programs often consist of accesses to a large number of small, noncontiguous pieces of data. If an application’s I/O needs are met by making many small, distinct I/O requests, however, the I/O performance degrades drastically. To avoid this problem, MPI-IO allows ..."
Abstract
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Cited by 139 (18 self)
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the two key optimizations ROMIO performs: data sieving for noncontiguous requests from one process and collective I/O for noncontiguous requests from multiple processes. We describe how one can implement these optimizations portably on multiple machines and file systems, control their memory requirements
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