The importance of a pixel is generally measured by its contrast when compared with its neighbor pixels, but other measures may be used. Additionally, it's possible to define (or autodetect) areas of high importance (faces, buildings, etc.) in which pixels may not be deleted, and conversely, areas of zero importance which should be removed first. From this information, the algorithm detects seams (continuous lines of pixels joining opposite edges of the image) which have the lowest importance, and deletes those. This shrinks the image by one horizontal or vertical line, depending on which direction the seam ran.

Seam carving can also be run in reverse by adding interpolated pixels along the lowest energy seam.

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