2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
Abstract—In this paper we introduce and advocate the use of multiple description coding (MDC) in ... more Abstract—In this paper we introduce and advocate the use of multiple description coding (MDC) in presence of channel diversity for fourth generation (4G) wireless communication networks. MDC allows to use the spectrum efficiently and simultaneously supporting heterogenous terminals. In this paper the investigations are made for voice and video type traffic. We present the drawbacks of the MDC scheme in terms of the overhead generated by the network layer and the encoding process.
ABSTRACT A scheme named index assignment-based channel coding (IACC) has been developed for resil... more ABSTRACT A scheme named index assignment-based channel coding (IACC) has been developed for resilience of speech/audio codecs against the bit errors commonly experienced in wireless channels. Although IACC is a type of joint source channel coding, it does not intervene with the source codec design. The proposed scheme takes into account source characteristics and adjusts the amount of coding according to the sensitivity of different values of the source parameters. It is shown that source characteristics play an important role in the performance of IACC. The performance of IACC has been evaluated by applying it to parameters generated by adaptive multi-rate wideband (AMR-WB+) audio codec. A method for perceptual training of IACC codes is also proposed. The results demonstrate that the performance of IACC and IACC concatenated with convolutional coding can be superior to that of conventional convolutional coding at high and moderate bit error rates, respectively.
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
ABSTRACT Facial expressions are the most informative activities on the human face. Facial movemen... more ABSTRACT Facial expressions are the most informative activities on the human face. Facial movements can be analyzed in order to recognize facial expressions. These movements are extracted using the facial geometry or texture. The paper addresses the facial expression recognition based on Local Binary Patterns (LBP) extracted from the texture information. The LBP operator and its extensions are applied to different color models which are gray-scale, RGB, oRGB, YCbCr and HSV. Frontal face images among six basic facial expressions which are anger, disgust, fear, happiness, sadness and surprise are considered. Support Vector Machine (SVM) is employed as the classifier. The simulation results on BU-3DFE database shows that LBP features of different color models affects recognition performance significantly.
2013 21st Signal Processing and Communications Applications Conference (SIU), 2013
Abstract—In this paper we introduce and advocate the use of multiple description coding (MDC) in ... more Abstract—In this paper we introduce and advocate the use of multiple description coding (MDC) in presence of channel diversity for fourth generation (4G) wireless communication networks. MDC allows to use the spectrum efficiently and simultaneously supporting heterogenous terminals. In this paper the investigations are made for voice and video type traffic. We present the drawbacks of the MDC scheme in terms of the overhead generated by the network layer and the encoding process.
ABSTRACT A scheme named index assignment-based channel coding (IACC) has been developed for resil... more ABSTRACT A scheme named index assignment-based channel coding (IACC) has been developed for resilience of speech/audio codecs against the bit errors commonly experienced in wireless channels. Although IACC is a type of joint source channel coding, it does not intervene with the source codec design. The proposed scheme takes into account source characteristics and adjusts the amount of coding according to the sensitivity of different values of the source parameters. It is shown that source characteristics play an important role in the performance of IACC. The performance of IACC has been evaluated by applying it to parameters generated by adaptive multi-rate wideband (AMR-WB+) audio codec. A method for perceptual training of IACC codes is also proposed. The results demonstrate that the performance of IACC and IACC concatenated with convolutional coding can be superior to that of conventional convolutional coding at high and moderate bit error rates, respectively.
2014 22nd Signal Processing and Communications Applications Conference (SIU), 2014
ABSTRACT Facial expressions are the most informative activities on the human face. Facial movemen... more ABSTRACT Facial expressions are the most informative activities on the human face. Facial movements can be analyzed in order to recognize facial expressions. These movements are extracted using the facial geometry or texture. The paper addresses the facial expression recognition based on Local Binary Patterns (LBP) extracted from the texture information. The LBP operator and its extensions are applied to different color models which are gray-scale, RGB, oRGB, YCbCr and HSV. Frontal face images among six basic facial expressions which are anger, disgust, fear, happiness, sadness and surprise are considered. Support Vector Machine (SVM) is employed as the classifier. The simulation results on BU-3DFE database shows that LBP features of different color models affects recognition performance significantly.
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