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    Area of Science:

    • Computer Vision
    • Image Processing
    • Computer Graphics

    Background:

    • Traditional image retargeting often struggles with non-rectangular shapes.
    • Existing methods may compromise image content or shape fidelity.

    Purpose of the Study:

    • To propose a novel image retargeting algorithm (CASAIR) for non-rectangular shapes.
    • To preserve image content and adapt to target shapes simultaneously.
    • To introduce a new class of shapes, bhv-convex shapes, achievable by the algorithm.

    Main Methods:

    • CASAIR employs seam segment carving to remove low-cost segments.
    • A cost function integrates image content and target shape information.
    • The algorithm is demonstrated with a smart camera-projector system for online retargeting.

    Main Results:

    • CASAIR successfully retargets images to a wide range of non-rectangular shapes.
    • The algorithm achieves dual objectives of content preservation and domain transformation.
    • Bhv-convex shapes are identified as the achievable target shapes.

    Conclusions:

    • CASAIR offers an efficient and flexible platform for image retargeting.
    • The algorithm enhances image fidelity in ubiquitous display systems.
    • CASAIR broadens the application scope of image retargeting significantly.