Concept
Video codec
Publications associées (249)
Efficient Temporally-Aware DeepFake Detection using H.264 Motion Vectors
Sabine Süsstrunk, Yufan Ren, Peter Arpad Grönquist, Alessio Verardo, Qingyi He
Video DeepFakes are fake media created with Deep Learning (DL) that manipulate a person’s expression or identity. Most current DeepFake detection methods analyze each frame independently, ignoring inconsistencies and unnatural movements between frames. Som ...
2024SoDaCam: Software-defined Cameras via Single-Photon Imaging
Edoardo Charbon, Andrei Ardelean, Mohit Gupta
Reinterpretable cameras are defined by their post-processing capabilities that exceed traditional imaging. We present "SoDaCam" that provides reinterpretable cameras at the granularity of photons, from photon-cubes acquired by single-photon devices. Photon ...
Ieee Computer Soc2023AI-based telepresence for broadcast applications
Touradj Ebrahimi, Rayan Daod Nathoo, Laurent Deillon, Henrique Piñeiro Monteagudo
In this paper, we introduce a new solution and underlying architecture that allows remote participants to interact with hosts in a broadcast scenario. To achieve this, background extraction is first applied to video received from remote participants to ext ...
SPIE2022A Sequence Repetition Node-Based Successive Cancellation List Decoder for 5G Polar Codes: Algorithm and Implementation
Andreas Peter Burg, Alexios Konstantinos Balatsoukas Stimming, Andreas Toftegaard Kristensen, Yifei Shen, Yuqing Ren, Chuan Zhang
Due to the low-latency and high-reliability require-ments of 5G, low-complexity node-based successive cancellation list (SCL) decoding has received considerable attention for use in 5G communications systems. By identifying special constituent codes in the ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022A Revisitation of Low-Rate Bounds on the Reliability Function of Discrete Memoryless Channels for List Decoding
We revise the proof of low-rate upper bounds on the reliability function of discrete memoryless channels for ordinary and list-decoding schemes, in particular Berlekamp and Blinovsky's zero-rate bound, as well as Blahut's bound for low rates. The available ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022Systems and methods for digital information decoding and data storage in hybrid macromolecules
Aleksandra Radenovic, Matteo Dal Peraro, Chan Cao, Lucien Fabrice Krapp
Systems and methods for data storage and readout using hybrid nucleic acid- polymeric molecules are herein disclosed. A molecular data storage medium is presented comprising a header and a footer, each comprising or consisting of at least one unit of a fir ...
2022Asynchrony Increases Efficiency: Time Encoding of Videos and Low-Rank Signals
Martin Vetterli, Adam James Scholefield, Karen Adam
In event-based sensing, many sensors independently and asynchronously emit events when there is a change in their input. Event-based sensing can present significant improvements in power efficiency when compared to traditional sampling, because (1) the out ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022Feature-based no-reference video quality assessment using Extra Trees
Arash Amini, Hatef Otroshi Shahreza
With the emergence of social networks and improvements in the internet speed, the video data has become an ever-increasing portion of the global internet traffic. Besides the content, the quality of a video sequence is an important issue at the user end wh ...
WILEY2022On the Efficiency of Polar-Like Decoding for Symmetric Codes
Rüdiger Urbanke, Kirill Ivanov
The recently introduced polar codes constitute a breakthrough in coding theory due to their capacity-achieving property. This goes hand in hand with a quasilinear construction, encoding, and successive cancellation list decoding procedures based on the Plo ...
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2022A novel assessment framework for learning-based deepfake detectors in realistic conditions
Detecting manipulations in facial images and video has become an increasingly popular topic in media forensics community. At the same time, deep convolutional neural networks have achieved exceptional results on deepfake detection tasks. Despite the remark ...
2022