OpenVL is the future of developer-friendly computer vision - existing vision frameworks provide access at a very low level, such as individual algorithm names (often named after their inventor), while OpenVL provides a higher-level abstraction to hide the details of sophisticated vision techniques: developers use a task-centred API to supply a description of the problem, and OpenVL interprets the description and provides a solution.

The OpenVL computer vision abstraction will support hardware acceleration and multiple platforms (mobile, cloud, desktop, console), and therefore also allows vendor-specific implementations. We are committed to making it an open API available to everyone (and hope to make it an open standard); Continue reading...
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    author = {Changsong Shen and James J. Little and Sidney Fels},
    title = {OpenVL: Towards a Novel Software Architecture for Computer Vision},
    booktitle = {Proceedings of the 3rd Workshop on Embedded Computer Vision},
    series = {CVPR'07},
    pages = {1--8},
    month = {June},
    year = {2007},
    publisher = {IEEE},
    address = {New York City, New York, U.S.A.},
    isbn = {1-4244-1180-7},
    location = {Minneapolis, Minnesota, U.S.A.},
    doi = {},
    url = {}