Video image streams

Girault and Schiffrin [6] and Samec et al. [39] used the pendant drop video-image method to measure the surface tension of the ideally polarized water-1,2-dichloroethane interface in the presence of KCl [6] or LiCl [39] in water and tetrabutylammonium tetraphenylborate in 1,2-dichloroethane. Electrocapillary curves of a shape resembling that for the water-nitrobenzene interface were obtained, but a detailed analysis of the surface tension data was not undertaken. An independent measurement of the zero-charge potential difference by the streaming-jet electrode technique [40] in the same system provided the value identical with the potential of the electrocapillary maximum. On the basis of the standard potential difference of —0.225 V for the tetrabutylammonium ion transfer, the zero-charge potential difference was estimated as equal to 8 10 mV [41]. 

Minimal I/O buffering. Arrays of I/O data should be spread in time as much as possible to reduce buffer cost. Also, the natural ordering of data-streams (as, e.g., the scanning order of video-images) should be followed as closely as possible. 

At first the video streams acquired by the CCD camera are separated into sequence of images and then to remove motion debluring wiener filtering method [18] was used. Motion compensated four frames are shown in Fig. 3. 

Intraoperative video streams from an endoscopic camera or a surgical microscope, shown alongside or fused with preoperative CT or MRI images. 

Other navigation systems combine video stream data obtained from endoscopic cameras or surgical microscopes, with data from preoperative studies, such as CT or MRI. The camera is tracked, so its position and orientation during surgery are known and can be shown, after registration, together with the preoperative images. The video stream can be shown side by side with a preoperative study,... 

Sana is an extension of the OpenMRS remote data collection to Android-based smartphones (http //sana.mit.edu/). Data are collected as for the J2ME platforms a health worker interviews a patient and determines the purpose or type of the encounter, downloads the pertinent form, and records the patient s answers—including text, images, and audio and video streams. The health worker does this for a number of patients, and then uploads the information to OpenMRS [17]. Medical experts can review the information and return a diagnosis to the health worker via the Sana application. Similar to JavaRosa, Sana sends data to the central server it does not have local storage, and the patient does not have access to or a copy of the data. 

Figure 4.8 (a, b) Separate video and ultrasound (US) images, with the US transducer visible in the video stream and (c) fused US image and video showing a tumor within a phantom. 

The user application provides a possibility of communication with admin module and reception of video sequences from cameras supported by the server Qo3S. As it was already mentioned the customer of user application has the ability to manually select the best image quality and the priority of video stream in each of maintained class of services. 

Figure 8. Image quality shown in client application window (a—EF class of services selected for video stream, b—BE class of services selected for video stream).

The results obtained show also that the provision of video stream classification preserves the continuity of service without significant deterioration of image quality. This enables the... 

To convey object trajectories and velocities in still images and video streams, a dense map of the object trajectories between consecutive video frames is required. In computer vision, these dense trajectories fields are referred to as dense optical flow [3]. 

As first step, the rear-view camera video stream is fed into the proposed vehicle detector by Gabb et al. [12]. To suppress incorrect detections besides the road and to speed up the classifier, the processed image region is restricted to the re-projected road course. The detector output roughly frames each frontal strucmre of the vehicle with a single bounding box or ROI (Region Of Interest). Unfoitunately, as stated in Sect. 1.1, the ROI is temporally unstable with respect to location and size (see red boxes in Fig. 6). 

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