Abstract
Wireless capsule endoscopy (WCE) has great advantages over traditional endoscopy because it is portable and easy to use, especially in remote monitoring health-services. However, during the WCE process, the large amount of captured video data demands a significant deal of computation to analyze and retrieve informative video frames. In order to facilitate efficient WCE data collection and browsing task, we present a resource- and bandwidth-aware WCE video summarization framework that extracts the representative keyframes of the WCE video contents by removing redundant and non-informative frames. For redundancy elimination, we use Jeffrey-divergence between color histograms and inter-frame Boolean series-based correlation of color channels. To remove non-informative frames, multi-fractal texture features are extracted to assist the classification using an ensemble-based classifier. Owing to the limited WCE resources, it is impossible for the WCE system to perform computationally intensive video summarization tasks. To resolve computational challenges, mobile-cloud architecture is incorporated, which provides resizable computing capacities by adaptively offloading video summarization tasks between the client and the cloud server. The qualitative and quantitative results are encouraging and show that the proposed framework saves information transmission cost and bandwidth, as well as the valuable time of data analysts in browsing remote sensing data.
Highlights
Telemonitoring facilitates the delivery of healthcare services by providing the transmission of diagnostic information and consultation opportunities to/from remote patients
In order to facilitate efficient Wireless capsule endoscopy (WCE) data collection and browsing, we present a video summarization driven WCE framework that estimates the semantically relevant video frames
We calculate the total transmission time required for uploading the complete WCE video to the cloud (Google App Engine) plus the time spent by cloud in generating the video summary
Summary
Telemonitoring facilitates the delivery of healthcare services by providing the transmission of diagnostic information and consultation opportunities to/from remote patients. The most widely used sensors are spirometers, blood pressure, and heart monitors. These sensors are attached to the patient by wires, resulting in the subject becoming bed-bound. With the advent of wireless body sensors these requirements have been overcome, thereby enabling the patient to follow his daily routine during diagnosis procedures [1,2]. Most wireless capsules are naturally expelled within 72 h of ingestion, only the first eight hours are significant for capturing the visual frames of the gastrointestinal. A normal WCE diagnostic procedure lasts approximately eight hours. This produces some 50,000 image frames on an average, with a ratio of two frames per second. The data collected when the patients are monitored remotely using body sensors is important for doctors to tackle any abnormal findings in a timely manner and to undertake appropriate measures
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