5 papers · 1 filter
Efficient Bayer-Domain Video Computer Vision with Fast Motion Estimation and Learned Perception Residual
Haichao Wang, Jiangtao Wen, Yuxing Han
Video computer vision systems face substantial computational burdens arising from two fundamental challenges: eliminating unnecessary processing and reducing temporal redundancy in…
Vision without Images: End-to-End Computer Vision from Single Compressive Measurements
Fengpu Pan, Heting Gao, Jiangtao Wen +1
Snapshot Compressed Imaging (SCI) offers high-speed, low-bandwidth, and energy-efficient image acquisition, but remains challenged by low-light and low signal-to-noise ratio (SNR)…
Leveraging Motion Estimation for Efficient Bayer-Domain Video Convolutional Networks
Haichao Wang, Xinyue Xi, Jiangtao Wen +1
Existing computer vision pipelines suffer from two efficiency bottlenecks: image signal processors (ISPs) first convert Bayer pixel data to RGB pixel by pixel, and video models rep…
Leveraging Compressed Frame Sizes For Ultra-Fast Video Classification
Yuxing Han, Yunan Ding, Chen Ye Gan +1
Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially when an immense volume of video conten…
Judging a video by its bitstream cover
Yuxing Han, Yunan Ding, Jiangtao Wen +1
Classifying videos into distinct categories, such as Sport and Music Video, is crucial for multimedia understanding and retrieval, especially in an age where an immense volume of v…