Search

The Image Content Engine (ICE) is being developed to provide cueing assistance to human image analysts faced with increasingly large and intractable amounts of image data. The ICE architecture includes user configurable feature extraction pipelines which produce intermediate feature vector and match surface files which can then be accessed by interactive relational queries. Application of the feature extraction algorithms to large collections of images may be extremely time consuming and is launched as a batch job on a Linux cluster. The query interface accesses only the intermediate files and returns candidate hits nearly instantaneously. Queries may be posed for individual objects or collections. The query interface prompts the user for feedback, and applies relevance feedback algorithms to revise the feature vector weighting and focus on relevant search results. Examples of feature extraction and both model-based and search-by-example queries are presented.

We demonstrate mode-locked two-wavelength synchronized operation of a single, cw pumped Ti:Sapphire laser. There is no active feedback or external cavity. The measured cross correlation is 105 fs. Wavelengths as much as 57 nm apart can be simultaneously cross-mode- locked. We then investigate the nonlinear interactions between the pulses. We show the nonlinear interaction caused by self focusing can correct for a difference in cavity lengths of up to +/- 3 micrometers corresponding to 20% of the pulse width on each round trip. Further, we show that the concept of mean group delay can be extended to a pair of pulses with disparate spectra and spatial distribution in a nonlinear regenerative system.© (1994) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.