05487764

a

05487764 Strong, Grant Gong, Minglun Browsing a large collection of community photos based on similarity on GPU. Bebis, George (ed.) et al., Advances in visual computing. 4th international symposium, ISVC 2008, Las Vegas, NV, USA, December 1--3, 2008. Proceedings, Part II. Berlin: Springer (ISBN 978-3-540-89645-6/pbk). Lecture Notes in Computer Science 5359, 390-399 (2008). 2008 Berlin: Springer EN

doi:10.1007/978-3-540-89646-3_38

Summary: A novel approach is proposed in this paper to facilitate browsing a large collection of community photos based on visual similarities. Using extracted feature vectors, the approach maps photos onto a 2D rectangular area such that the ones with similar features are close to each other. When a user browses the collection, a subset of photos is automatically selected to compose a photo collage. Once having identified photos of interest the user can find more photos with similar features through panning and zooming operations, which dynamically update the photo collage. To quickly organize a large number of photos, the 2D mapping process is performed on the GPU, which yields 15~19 times speedup over the CPU implementation.