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Texture Segmentation Based Video Compression Using Convolutional Neural Networks.

, , , , and . Visual Information Processing and Communication, Society for Imaging Science and Technology, (2018)

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Segmentation-Based Video Compression Using Texture and Motion Models., , and . IEEE J. Sel. Top. Signal Process., 5 (7): 1366-1377 (2011)Improving Food Detection For Images From a Wearable Egocentric Camera., , , , , and . CoRR, (2023)An Improved Encoder-Decoder Framework for Food Energy Estimation., , and . MADiMa@MM, page 53-59. ACM, (2023)Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding., , , , , and . AAAI, page 9377-9386. AAAI Press, (2024)NARV: An Efficient Noise-Adaptive ResNet VAE for Joint Image Compression and Denoising., , and . ICME Workshops, page 188-193. IEEE, (2023)Robust Person Recognition using CNN., , , and . IMAWM, page 45-50. Society for Imaging Science and Technology, (2017)Efficient real-time portrait video segmentation with temporal guidance., , , , and . Imaging and Multimedia Analytics at the Edge, page 1-7. Society for Imaging Science and Technology, (2022)Exploiting Temporal Information in Real-time Portrait Video Segmentation., , , , and . HCMA@MM, page 33-39. ACM, (2023)Personal dietary assessment using mobile devices., , , , , , and . Computational Imaging, volume 7246 of SPIE Proceedings, page 72460. SPIE, (2009)Technology-assisted dietary assessment., , , , , , and . Computational Imaging, volume 6814 of SPIE Proceedings, page 681411. SPIE, (2008)