249 citations · 1.5k across the 70 of their papers we have counts for
5 papers · 1 filter
Comprehensive Complexity Assessment of Emerging Learned Image Compression on CPU and GPU
Farhad Pakdaman, Moncef Gabbouj
Learned Compression (LC) is the emerging technology for compressing image and video content, using deep neural networks. Despite being new, LC methods have already gained a compres…
End-to-end Transformer for Compressed Video Quality Enhancement
Li Yu, Wenshuai Chang, Shiyu Wu +1
Convolutional neural networks have achieved excellent results in compressed video quality enhancement task in recent years. State-of-the-art methods explore the spatiotemporal info…
Efficient CNN with uncorrelated Bag of Features pooling
Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis +1
Despite the superior performance of CNN, deploying them on low computational power devices is still limited as they are typically computationally expensive. One key cause of the hi…
A Survey on Mobile Edge Computing for Video Streaming: Opportunities and Challenges
Muhammad Asif Khan, Emna Baccour, Zina Chkirbene +4
5G communication brings substantial improvements in the quality of service provided to various applications by achieving higher throughput and lower latency. However, interactive m…
Reducing Redundancy in the Bottleneck Representation of the Autoencoders
Firas Laakom, Jenni Raitoharju, Alexandros Iosifidis +1
Autoencoders are a type of unsupervised neural networks, which can be used to solve various tasks, e.g., dimensionality reduction, image compression, and image denoising. An AE has…