Efficient content extraction in compressed images

In many contexts, it is desirable for users to be able to extract content directly from image and video data via queries formed dynamically online. Queries over pre-computed features of an image set restrict the user's access to what has been computed by an editor or supervisor of the data. This paper presents an approach to extracting patterns from images and video efficiently in order to support online queries directly on the original image data. Our technique relies on compressed-domain processing, where we perform content extraction on image or video data that are compressed with standard algorithms such as JPEG, MPEG or wavelet schemes