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Now showing items 21-26 of 26
H.264/AVC to HEVC Video Transcoder Based on Dynamic Thresholding and Content Modeling
(IEEE, 2014)
The new video coding standard, HEVC, was developed to succeed the current standard, H.264/AVC, as the state of the art in video compression. However, there is a lot of legacy content encoded with H.264/AVC. This paper ...
FPGA-Based Network Traffic Classification Using Machine Learning
(IEEE Xplore, 2020)
Real-time classification of internet traffic is critical for the efficient management of networks. Classification approaches based on machine learning techniques have shown promising results with high levels of accuracy. ...
Predicting split decisions of coding units in HEVC video compression using machine learning techniques
(Springer, 2018)
In this work, we propose to reduce the complexity of HEVC video encoding by predicting the split decisions of coding units. We use a sequencedependent approach in which a number of frames belonging to the video being encoded ...
Continuous Arabic Sign Language Recognition in User Dependent Mode
(Scientific Research, 2010)
Arabic Sign Language recognition is an emerging field of research. Previous attempts at automatic visionbased recognition of Arabic Sign Language mainly focused on finger spelling and recognizing isolated gestures. In this ...
Altering Split Decisions of Coding Units for Message Embedding in HEVC
(Springer, 2017-05)
This paper proposes a novel message embedding solution based on modifying the split decisions of HEVC videos. The encoder starts by computing a mapping between the split decisions of a Coding Unit (CU) and its features ...
Saliency detection in MPEG and HEVC video using intra-frame and inter-frame distances
(Springer, 2016-04)
This paper proposes a video saliency detection model for MPEG and HEVC coded videos. The model extracts features from MPEG macro blocks and HEVC coding units. The feature variables are based on syntax elements and statistics ...