Browsing by Author "Malekmohamadi, Hossein"
Now showing items 1-14 of 14
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Automatic Subjective Quality Estimation of 3D Stereoscopic Videos: NR-RR Approach
Malekmohamadi, Hossein (Conference)A method for estimating subjective quality score of 3D stereoscopic video is proposed which is based on decision trees. The output of this estimation can be fed into encoding and transmission units for compensation. The ... -
Deep Learning Based Photometric Stereo from Many Images and Under Unknown Illumination
Malekmohamadi, Hossein (Conference)Shape from X is an interesting area of research in computer vision community. This topic is divided into passive and active methods. Example of passive methods is shape from texture, shape from defocus and shape from the ... -
Human Activity Identification in Smart Daily Environments
Malekmohamadi, Hossein; Pattanajak, Nontawat; Bom, Roeland (Book chapter)Research in human activity recognition (HAR) benefits many applications such as intelligent surveillance systems to track humans’ abnormal activities. It could also be applied to robots to understand human activity, which ... -
Improving a 3-D Convolutional Neural Network Model Reinvented from VGG16 with Batch Normalization
Pattanajak, Nontawat; Malekmohamadi, Hossein (Conference)It is challenging to build and train a Convolutional Neural Network model that can achieve a high accuracy rate for the first time. There are many variables to consider such as initial parameters, learning rate, and batch ... -
INNATE: Intelligent Non-invasive Nocturnal epilepsy Assistive TEchnology
Malekmohamadi, Hossein; Shell, Jethro; Coupland, Simon (Conference)Epilepsy is a neurological disease that affects the brain and is characterised by repeated seizures. Generalised, focal and unknown are three major types of seizures. Each type has several subgroups. For this reason, seizure ... -
Low-Cost Automatic Ambient Assisted Living system
Malekmohamadi, Hossein; Moemeni, A.; Orun, A.; Kumar, J. (Conference)The recent increase in ageing population in countries around the world has brought a lot of attention toward research and development of ambient assisted living (AAL) systems. These systems should be inexpensive to be ... -
A new reduced reference metric for color plus depth 3D video
Malekmohamadi, Hossein; Fernando, Anil; Kondoz, A. (Article)A new reduced reference (RR) objective quality metric for 3D video is proposed that incorporates spatial neighboring information. The contrast measures from gray level co-occurrence matrices (GLCM) for both color and depth ... -
Paper classification based on three-dimensional characteristics
Malekmohamadi, Hossein (Other)Examples disclosed herein relate to classifying paper based on three-dimensional characteristics of the paper. For example, a representation of the three-dimensional characteristics of the paper may be created, and statistical ... -
Paper substrate classification based on 3D surface micro-geometry
Malekmohamadi, Hossein; Emrith, Khemraj; Pollard, Stephen; Adams, Guy; Smith, Melvyn; Simske, Steve (Conference)This paper presents an approach to derive a novel 3D signature based on the micro-geometry of paper surfaces so as to uniquely characterise and classify different paper substrates. This procedure is extremely important to ... -
Paper type classification based on a new 3D surface texture measure
Malekmohamadi, Hossein; Emrith, Khemraj; Pollard, Stephen; Adams, Guy; Smith, Melvyn; Simske, Steven (Article)A novel three-dimensional (3D) surface texture measure (3DSTM) is presented based on the micro-geometry of paper surfaces to classify different paper substrates. This is useful to automatically determine whether a document ... -
Subjective quality estimation based on neural networks for stereoscopic videos
Malekmohamadi, Hossein; Fernando, W.; Danish, E.; Kondoz, A. (Conference)A neural network based technique is proposed to estimate subjective quality of stereoscopic videos. Moreover, to utilize this model for applications where availability of reference signal is not possible to receiver, it ... -
Surface Defect Detection Using YOLO Network
Hatab, Muhieddine; Malekmohamadi, Hossein; Amira, Abbes (Conference)Detecting defects on surfaces such as steel can be a challenging task because defects have complex and unique features. These defects happen in many production lines and differ between each one of these production lines. ... -
Towards Semantic Segmentation Using Ratio Unpooling
Boland, Duncan; Malekmohamadi, Hossein (Conference)This paper presents the concept of Ratio Unpooling as a means of improving the performance of an Encoder-Decoder Convolutional Neural Network (CNN) when applied to Semantic Segmentation. Ratio Unpooling allows for 4 ... -
Vehicle detection and classification in difficult environmental conditions using deep learning
Darmanin, Alessio; Malekmohamadi, Hossein; Amira, Abbes (Conference)The time drivers spend stuck in traffic is increasing annually, on a global level. Time lost in traffic imposes costs both economically and socially. Tracking congestion throughout the road network is critical in an ...