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Bit depth adaptation, where the bit depth of a video sequence is reduced before transmission and up-sampled during display, can potentially reduce data rates with limited impact on perceptual quality. In this context, we conducted a…

Image and Video Processing · Electrical Eng. & Systems 2021-09-17 Alex Mackin , Di Ma , Fan Zhang , David Bull

Defocus Blur Detection(DBD) aims to separate in-focus and out-of-focus regions from a single image pixel-wisely. This task has been paid much attention since bokeh effects are widely used in digital cameras and smartphone photography.…

Computer Vision and Pattern Recognition · Computer Science 2020-07-17 Xiaodong Cun , Chi-Man Pun

Bit-depth is the number of bits for each color channel of a pixel in an image. Although many modern displays support unprecedented higher bit-depth to show more realistic and natural colors with a high dynamic range, most media sources are…

Image and Video Processing · Electrical Eng. & Systems 2019-10-11 Junyoung Byun , Kyujin Shim , Changick Kim

Banding artifacts, which manifest as staircase-like color bands on pictures or video frames, is a common distortion caused by compression of low-textured smooth regions. These false contours can be very noticeable even on high-quality…

Image and Video Processing · Electrical Eng. & Systems 2020-10-28 Zhengzhong Tu , Jessie Lin , Yilin Wang , Balu Adsumilli , Alan C. Bovik

Ensuring high-quality video content for wireless users has become increasingly vital. Nevertheless, maintaining a consistent level of video quality faces challenges due to the fluctuating encoded bitrate, primarily caused by dynamic video…

Image and Video Processing · Electrical Eng. & Systems 2023-11-23 Matin Mortaheb , Mohammad A. Amir Khojastepour , Srimat T. Chakradhar , Sennur Ulukus

Digital images and videos play a very important role in everyday life. Nowadays, people have access the affordable mobile devices equipped with advanced integrated cameras and powerful image processing applications. Technological…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Edgar Gonzalez Fernandez , Ana Lucila Sandoval Orozco , Luis Javier Garcia Villalba

Recently, learned video compression (LVC) is undergoing a period of rapid development. However, due to absence of large and high-quality high dynamic range (HDR) video training data, LVC on HDR video is still unexplored. In this paper, we…

Computer Vision and Pattern Recognition · Computer Science 2025-07-01 Zhaoyi Tian , Feifeng Wang , Shiwei Wang , Zihao Zhou , Yao Zhu , Liquan Shen

Background subtraction is a significant component of computer vision systems. It is widely used in video surveillance, object tracking, anomaly detection, etc. A new data source for background subtraction appeared as the emergence of…

Computer Vision and Pattern Recognition · Computer Science 2019-01-18 Xueying Wang , Lei Liu , Guangli Li , Xiao Dong , Peng Zhao , Xiaobing Feng

We present a new algorithm for video coding, learned end-to-end for the low-latency mode. In this setting, our approach outperforms all existing video codecs across nearly the entire bitrate range. To our knowledge, this is the first…

Image and Video Processing · Electrical Eng. & Systems 2018-11-20 Oren Rippel , Sanjay Nair , Carissa Lew , Steve Branson , Alexander G. Anderson , Lubomir Bourdev

Video compression is a central feature of the modern internet powering technologies from social media to video conferencing. While video compression continues to mature, for many compression settings, quality loss is still noticeable. These…

Image and Video Processing · Electrical Eng. & Systems 2023-10-31 Max Ehrlich , Jon Barker , Namitha Padmanabhan , Larry Davis , Andrew Tao , Bryan Catanzaro , Abhinav Shrivastava

As a very common type of video, face videos often appear in movies, talk shows, live broadcasts, and other scenes. Real-world online videos are often plagued by degradations such as blurring and quantization noise, due to the high…

Computer Vision and Pattern Recognition · Computer Science 2024-11-26 Yutong Wang , Jiajie Teng , Jiajiong Cao , Yuming Li , Chenguang Ma , Hongteng Xu , Dixin Luo

Video post-processing methods can improve the quality of compressed videos at the decoder side. Most of the existing methods need to train corresponding models for compressed videos with different quantization parameters to improve the…

Image and Video Processing · Electrical Eng. & Systems 2023-11-16 Zheng Liu , Honggang Qi

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 video content is constantly being generated. Traditional…

Computer Vision and Pattern Recognition · Computer Science 2023-09-15 Yuxing Han , Yunan Ding , Jiangtao Wen , Chen Ye Gan

Bit-depth expansion (BDE) is one of the emerging technologies to display high bit-depth (HBD) image from low bit-depth (LBD) source. Existing BDE methods have no unified solution for various BDE situations, and directly learn a mapping for…

Computer Vision and Pattern Recognition · Computer Science 2024-10-28 Yuqing Liu , Qi Jia , Jian Zhang , Xin Fan , Shanshe Wang , Siwei Ma , Wen Gao

Depth coding in 3D-HEVC for the multiview video plus depth (MVD) architecture (i) deforms object shapes due to block-level edge-approximation; (ii) misses an opportunity for high compressibility at near-lossless quality by failing to…

Information Theory · Computer Science 2018-01-09 Shampa Shahriyar , Manzur Murshed , Mortuza Ali , Manoranjan Paul

Many compelling video post-processing effects, in particular aesthetic focus editing and refocusing effects, are feasible if per-frame depth information is available. Existing computational methods to capture RGB and depth either…

Computer Vision and Pattern Recognition · Computer Science 2016-10-13 Hyeongwoo Kim , Christian Richardt , Christian Theobalt

Video deblurring aims at recovering sharp details from a sequence of blurry frames. Despite the proliferation of depth sensors in mobile phones and the potential of depth information to guide deblurring, depth-aware deblurring has received…

Computer Vision and Pattern Recognition · Computer Science 2024-09-04 German F. Torres , Jussi Kalliola , Soumya Tripathy , Erman Acar , Joni-Kristian Kämäräinen

Developing blind video deflickering (BVD) algorithms to enhance video temporal consistency, is gaining importance amid the flourish of image processing and video generation. However, the intricate nature of video data complicates the…

Computer Vision and Pattern Recognition · Computer Science 2024-03-12 Xinmin Qiu , Congying Han , Zicheng Zhang , Bonan Li , Tiande Guo , Pingyu Wang , Xuecheng Nie

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 content is being constantly generated. Traditional methods require…

Computer Vision and Pattern Recognition · Computer Science 2024-03-14 Yuxing Han , Yunan Ding , Chen Ye Gan , Jiangtao Wen

Although there have been notable advancements in video compression technologies in recent years, banding artifacts remain a serious issue affecting the quality of compressed videos, particularly on smooth regions of high-definition videos.…

Computer Vision and Pattern Recognition · Computer Science 2025-08-19 Qi Zheng , Li-Heng Chen , Chenlong He , Neil Berkbeck , Yilin Wang , Balu Adsumilli , Alan C. Bovik , Yibo Fan , Zhengzhong Tu
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