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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 ...
Data Hiding in MPEG Video Files Using Multivariate Regression and Flexible Macroblock Ordering
(IEEE, 2012)
This paper proposes two data hiding approaches using compressed MPEG video. The first approach hides message bits by modulating the quantization scale of a constant bitrate video. A payload of one message bit per macroblock ...
Robust Polynomial Classifier Using L1-norm minimization
(Springer, 2010)
In this paper we present a robust polynomial classifier based on L1-norm minimization. We do so by reformulating the classifier training process as a linear programming problem. Due to the inherent insensitivity of the ...
Error resiliency transcoding and decoding solutions using distributed video coding techniques
(Elsevier, 2008)
This paper proposes a number of video transcoding techniques for the purpose of adding error resiliency. The proposed solutions make use of distributed video coding technologies which were originally reported in the ...
A regression-based framework for estimating the objective quality of HEVC coding units and video frames
(Elsevier, 2015-05)
A no-reference objective quality estimation framework is proposed. The framework is suitable for any block-based video codec. In the proposed solution, features are extracted from coding units and summarized to form features ...
User-independent recognition of Arabic sign language for facilitating communication with the deaf community
(Elsevier, 2011)
This paper presents a solution for user-independent recognition of isolated Arabic Sign language gestures. The video based gestures are preprocessed to segment out the hands of the signer based on color segmentation of the ...
Decision-level fusion for single-view gait recognition with various carrying and clothing conditions
(Elsevier, 2017)
Gait Recognition is one of the latest and attractive biometric techniques, due to its potential in identification of individuals at a distance, unobtrusively and even using low resolution images. In this paper we focus on ...
Novel Classification System for Classifying Cognitive Workload Levels under Vague Visual Stimulation
(IEEE, 2017-07)
This paper presents a novel method for classifying four different levels of cognitive workload. The workload levels are generated using visual stimuli degradation. EEG signals recorded from 16 subjects were used for workload ...
Glove-Based Continuous Arabic Sign Language Recognition in User-Dependent Mode
(IEEE, 2015)
In this paper we propose a glove-based Arabic sign language recognition system using a novel technique for sequential data classification. We compile a sensor-based dataset of 40 sentences using an 80-word lexicon. In the ...
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 ...