5 papers
Differentiable Proxy Learning for Adaptive Quantization Control in H.264 Video Coding
Qihan Xu, Ivan V. BajiÄ
H.264 has been the most widely used video coding format for the past two decades due to its relative simplicity, efficiency, and wide availability of software and hardware implemen…
Bit Allocation Transfer for Perceptual Quality Enhancement of VVC Intra Coding
Runyu Yang, Ivan V. BajiÄ
Mainstream image and video coding standards -- including state-of-the-art codecs like H.266/VVC, AVS3, and AV1 -- adopt a block-based hybrid coding framework. While this framework…
Rate-Accuracy Bounds in Visual Coding for Machines
Ivan V. BajiÄ
Increasingly, visual signals such as images, videos and point clouds are being captured solely for the purpose of automated analysis by computer vision models. Applications include…
Semantics-Guided Generative Image Compression
Cheng-Lin Wu, Hyomin Choi, Ivan V. BajiÄ
Advancements in text-to-image generative AI with large multimodal models are spreading into the field of image compression, creating high-quality representation of images at extrem…
SplitFedZip: Learned Compression for Data Transfer Reduction in Split-Federated Learning
Chamani Shiranthika, Hadi Hadizadeh, Parvaneh Saeedi +1
Federated Learning (FL) enables multiple clients to train a collaborative model without sharing their local data. Split Learning (SL) allows a model to be trained in a split manner…