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Title |
Proficient: Achieving Progressive Object Detection over a Lossless Network using Fragmented DCT Coefficients |
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Author |
Emad Felemban, Saleh Basalamah, Adil Shaikh and Atif Nasser |
| Citation |
Vol. 24 No. 4 pp. 51-59 |
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Abstract |
In this work, we focused on reducing the amount of image data to be sent by extracting and progressively sending prominent image features to high-performance computing systems taking into consideration the right amount of image data required by object identification application. We demonstrate that with our technique called Progressive Object Detection over a Lossless Network using Fragmented DCT Coefficients (Proficient), object identification applications can detect objects with at least 70% combined confidence level by using less than half of the image data. |
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Keywords |
DCT, Image Recognition, Object Recognition, DCT Coefficients, Wireless Networks |
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