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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 ...
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 ...
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 ...
Matrix Encoding for Data Hiding Using Multilayer Video Coding and Transcoding Solutions
(Elsevier, 2012)
This paper proposes a multitier data hiding solution in MPEG video using matrix encoding. In the first tier of the proposed solution, raw video is encoded into two layers using multilayer Signal to Noise Ratio (SNR) encoding. ...
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 ...
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 ...
Feature modeling using polynomial classifiers and stepwise regression
(Elsevier, 2010)
In polynomial networks, feature vectors are mapped to a higher dimensional space through a polynomial function. The expanded vectors are then passed to a single layer network to compute the model parameters. However, as ...
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 ...