We present an unsupervised, shape-based method for joint clustering of multiple image segmentations. Given two or more closely-related images, such as nearby frames in a video seq...
We present an unsupervised, shape-based method for joint clustering of multiple image segmentations. Given two or more closely-related images, such as nearby frames in a video sequ...
Daniel Glasner, Shiv N. Vitaladevuni and Ronen Bas...
Large-scale digitization projects aimed at periodicals often have as input streams of completely unlabeled document images. In such situations, the results produced by the automat...
Iuliu Vasile Konya, Christoph Seibert, Sebastian G...
This paper describes our experiences in an ongoing collaboration between our research group in Palo Alto and a similar group in Japan. The collaboration is based on semimonthly vi...
Andreas Girgensohn, John S. Boreczky, Patrick Chiu...
Currently, television sets with flat plasma and LCD screens with improved resolutions and better color quality are emerging. To fully utilize their capabilities, lower resolution...
Nhut Thanh Quach, Bahman Zafarifar, Georgi Gaydadj...