Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to... more Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to sleep disturbance and consequential daytime sleepiness. This has potentially serious consequences for the individual, employers, and society as a whole. Apnea refers to short spells when breathing stops. In obstructive sleep apnea, the throat constricts during sleep, preventing breathing; the apnea episode often ends with a loud snore and/or gasp. Such an event is sufficient to open the throat muscles to allow breathing, and the patient usually falls asleep again so quickly that the event is not remembered. This cycle repeats itself throughout the night as the muscles relax and the throat blocks again, and the frequency of the episode is used to determine the severity of the syndrome. A wide range of parameters, including EEG (electroencephalogram) sleep staging, snoring, changes in airway resistance, airflow, and inspiratory effort, as well as oxygen saturation and body movement during "normal sleep" in a Sleep Lab, lead to an understanding of the pathophysiology of sleep apnea (Flemons et al, 2003). According to recent research findings (Bennett,
This chapter presents a suggested framework for video matching based on local features extracted ... more This chapter presents a suggested framework for video matching based on local features extracted directly from the DC-image of MPEG compressed videos, without full decompression. In addition, the relevant arguments and supporting evidences are discussed. Several local feature detectors will be examined to select the best for matching using the DC-image. Two experiments are carried to support the above. The first is comparing between the DC-image and I-frame, in terms of matching performance and computation complexity. The second experiment compares between using local features and global features regarding compressed video matching with respect to the DC-image. The results confirmed that the use of DC-image, despite its highly reduced size, is promising as it produces higher matching precision, compared to the full I-frame. Also, SIFT, as a local feature, outperforms most of the standard global features. On the other hand, its computation complexity is relatively higher, but it is still within the real-time margin which leaves a space for further optimizations that could be done to improve this computation complexity.
This paper presents a suggested framework for video matching based on local features extracted fr... more This paper presents a suggested framework for video matching based on local features extracted from the DC-image of MPEG compressed videos, without decompression. The relevant arguments and supporting evidences are discussed for developing video similarity techniques that works directly on compressed videos, without decompression, and especially utilising small size images. Two experiments are carried to support the above. The first is comparing between the DC-image and I-frame, in terms of matching performance and the corresponding computation complexity. The second experiment compares between using local features and global features in video matching, especially in the compressed domain and with the small size images. The results confirmed that the use of DC-image, despite its highly reduced size, is promising as it produces at least similar (if not better) matching precision, compared to the full I-frame. Also, using SIFT, as a local feature, outperforms precision of most of the ...
2009 IEEE International Conference on Signal and Image Processing Applications, 2009
In this paper, we introduce a novel framework for automatic Semantic Video Annotation. As this fr... more In this paper, we introduce a novel framework for automatic Semantic Video Annotation. As this framework detects possible events occurring in video clips, it forms the annotating base of video search engine. To achieve this purpose, the system has to able to operate on uncontrolled wide-domain videos. Thus, all layers have to be based on generic features. This framework aims to bridge the "semantic gap", which is the difference between the low-level visual features and the human's perception, by finding videos with similar visual events, then analyzing their free text annotation to find a common area then to decide the best description for this new video using commonsense knowledgebases. Experiments were performed on wide-domain video clips from the TRECVID 2005 BBC rush standard database. Results from these experiments show promising integrity between those two layers in order to find expressing annotations for the input video. These results were evaluated based on retrieval performance.
The version in the Kent Academic Repository may differ from the final published version. Users ar... more The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.
Although polysomnography is a generally adopted approach for diagnosing obstructive sleep apnoea ... more Although polysomnography is a generally adopted approach for diagnosing obstructive sleep apnoea (OSA), there are several critical drawbacks with it, including massive equipment cost, large expense on replacing damaged components and more importantly invasive devices required to be worn while patients are struggling to sleep. Furthermore, there is no proof that polymonography obtains higher accuracy in detecting patients with OSA than more simple investigations [1]. Video monitoring has been adopted to assist ...
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2006
Recognizing abnormal breathing activity from body movement is a challenging task in machine visio... more Recognizing abnormal breathing activity from body movement is a challenging task in machine vision. In this paper, we present a non-intrusive automatic video monitoring technique for detecting abnormal breathing activities and assisting in diagnosis of obstructive sleep apnoea. The proposed technique utilizes infrared video information and avoids imposing geometric or positional constraints on the patient. The technique also deals with fully or partially obscured patients' body. A continuously updated breathing activity template is built for distinguishing general body movement from breathing behavior.
Proceedings of World Congress on Engineering, 2007
Abstract—Obstructive Sleep Apnea is increasingly seen as a common and important condition, contri... more Abstract—Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to sleep disturbance and consequential daytime sleepiness. According to recent research findings, the best predictors of morbidity in individual patients, as assessed by improvements with CPAP (continuous positive airway pressure therapy), are nocturnal oxygen saturation and movements during sleep. Although pulse oximetry is a well-established technique to analyze oxygen saturation, video monitoring and interpretation is ...
Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to... more Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to sleep disturbance and consequential daytime sleepiness. This has potentially serious consequences for the individual, employers, and society as a whole. Apnea refers to short spells when breathing stops. In obstructive sleep apnea, the throat constricts during sleep, preventing breathing; the apnea episode often ends with a loud snore and/or gasp. Such an event is sufficient to open the throat muscles to allow breathing, and the patient usually falls asleep again so quickly that the event is not remembered. This cycle repeats itself throughout the night as the muscles relax and the throat blocks again, and the frequency of the episode is used to determine the severity of the syndrome. A wide range of parameters, including EEG (electroencephalogram) sleep staging, snoring, changes in airway resistance, airflow, and inspiratory effort, as well as oxygen saturation and body movement during "normal sleep" in a Sleep Lab, lead to an understanding of the pathophysiology of sleep apnea (Flemons et al, 2003). According to recent research findings (Bennett,
This chapter presents a suggested framework for video matching based on local features extracted ... more This chapter presents a suggested framework for video matching based on local features extracted directly from the DC-image of MPEG compressed videos, without full decompression. In addition, the relevant arguments and supporting evidences are discussed. Several local feature detectors will be examined to select the best for matching using the DC-image. Two experiments are carried to support the above. The first is comparing between the DC-image and I-frame, in terms of matching performance and computation complexity. The second experiment compares between using local features and global features regarding compressed video matching with respect to the DC-image. The results confirmed that the use of DC-image, despite its highly reduced size, is promising as it produces higher matching precision, compared to the full I-frame. Also, SIFT, as a local feature, outperforms most of the standard global features. On the other hand, its computation complexity is relatively higher, but it is still within the real-time margin which leaves a space for further optimizations that could be done to improve this computation complexity.
This paper presents a suggested framework for video matching based on local features extracted fr... more This paper presents a suggested framework for video matching based on local features extracted from the DC-image of MPEG compressed videos, without decompression. The relevant arguments and supporting evidences are discussed for developing video similarity techniques that works directly on compressed videos, without decompression, and especially utilising small size images. Two experiments are carried to support the above. The first is comparing between the DC-image and I-frame, in terms of matching performance and the corresponding computation complexity. The second experiment compares between using local features and global features in video matching, especially in the compressed domain and with the small size images. The results confirmed that the use of DC-image, despite its highly reduced size, is promising as it produces at least similar (if not better) matching precision, compared to the full I-frame. Also, using SIFT, as a local feature, outperforms precision of most of the ...
2009 IEEE International Conference on Signal and Image Processing Applications, 2009
In this paper, we introduce a novel framework for automatic Semantic Video Annotation. As this fr... more In this paper, we introduce a novel framework for automatic Semantic Video Annotation. As this framework detects possible events occurring in video clips, it forms the annotating base of video search engine. To achieve this purpose, the system has to able to operate on uncontrolled wide-domain videos. Thus, all layers have to be based on generic features. This framework aims to bridge the "semantic gap", which is the difference between the low-level visual features and the human's perception, by finding videos with similar visual events, then analyzing their free text annotation to find a common area then to decide the best description for this new video using commonsense knowledgebases. Experiments were performed on wide-domain video clips from the TRECVID 2005 BBC rush standard database. Results from these experiments show promising integrity between those two layers in order to find expressing annotations for the input video. These results were evaluated based on retrieval performance.
The version in the Kent Academic Repository may differ from the final published version. Users ar... more The version in the Kent Academic Repository may differ from the final published version. Users are advised to check http://kar.kent.ac.uk for the status of the paper. Users should always cite the published version of record.
Although polysomnography is a generally adopted approach for diagnosing obstructive sleep apnoea ... more Although polysomnography is a generally adopted approach for diagnosing obstructive sleep apnoea (OSA), there are several critical drawbacks with it, including massive equipment cost, large expense on replacing damaged components and more importantly invasive devices required to be worn while patients are struggling to sleep. Furthermore, there is no proof that polymonography obtains higher accuracy in detecting patients with OSA than more simple investigations [1]. Video monitoring has been adopted to assist ...
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2006
Recognizing abnormal breathing activity from body movement is a challenging task in machine visio... more Recognizing abnormal breathing activity from body movement is a challenging task in machine vision. In this paper, we present a non-intrusive automatic video monitoring technique for detecting abnormal breathing activities and assisting in diagnosis of obstructive sleep apnoea. The proposed technique utilizes infrared video information and avoids imposing geometric or positional constraints on the patient. The technique also deals with fully or partially obscured patients' body. A continuously updated breathing activity template is built for distinguishing general body movement from breathing behavior.
Proceedings of World Congress on Engineering, 2007
Abstract—Obstructive Sleep Apnea is increasingly seen as a common and important condition, contri... more Abstract—Obstructive Sleep Apnea is increasingly seen as a common and important condition, contributing to sleep disturbance and consequential daytime sleepiness. According to recent research findings, the best predictors of morbidity in individual patients, as assessed by improvements with CPAP (continuous positive airway pressure therapy), are nocturnal oxygen saturation and movements during sleep. Although pulse oximetry is a well-established technique to analyze oxygen saturation, video monitoring and interpretation is ...
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