Paper Title:

Salient Video Stills: Content and Context Preserved

Author(s):

Laura Teodosio and Walter Bender

Main Point(s):

The paper proposes a new class of images called salient stills that reflect the aggregate of temporal changes that occur in a sequence of images with the salient features preserved. The motivation of using salient stills is to reduce redundancy in a sequence of frames. The salient still contains multi-resolution patches, a larger field of view, or higher overall resolution than any individual frame in the original image sequence. To construct such a still image, the optical flow between successive frame pairs is first computed, then affine transformations are applied, which translate, scale and warp each frame into a single, high-resolution raster, finally a weighted temporal median filter is applied to the high-resolution image data to get the result image. Some enhancements and extensions are also discussed.

Possible Use(s):

Salient stills can be used to create panoramic pictures. They are also good for icons in a video database that served for content-based retrieval purpose. One more use is to monitoring an important place. as a "video radar".

Extensions:

Extended to modeling moving objects with salient features.

Jing Huang's CS631 course page