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Abstract-With the invention of immersive displays and high technology multimedia systems, there is an interest among viewers for more realistic and interactive experience with video media. Their viewing experience can be further enhanced by letting them to feel the motion of objects in a video through haptic interface, as it becomes an additional sensation over seeing and hearing it. The objective of this research is to use the string based haptic interface, SPIDAR to interact with the video and enable the viewers to feel the motion of objects in it, beyond passive seeing and hearing. We propose two methods for object motion rendering, one using a linear gain controller and another using a nonlinear gain controller. Furthermore, we evaluated those two methods with the participation of real users, with the objective of identifying the better method. We can conclude that the method using a nonlinear gain controller is more effective than the method using a linear gain controller for object motion rendering since it enables the user to get a continuous feeling of the movement of objects in the video. Feedbacks of real users further enable us to conclude that haptic motion rendering of a video sequence enhances the viewing experience of viewers.

Panoramic image creation is crucial in area of digital imaging. It is developed by combining an overlapped image component series of a large image, which is difficult to be focused on using a normal camera due to a large field of view. Measuring the quality of panoramic images is a challenging task. Therefore, the objectives of this research are to find the attributes of visual quality of panoramic images and to propose predictor variables for a statistical model for the quality of panoramic images of mural paintings. Authors have used a proposed novel method for creating panoramic images of mural painting. In this study, authors researched on the quality attributes of digital images. Accordingly, color balance, noise and distortion were identified as the two most critical factors which affect the overall quality of the panoramic images. Authors visited three temples and captured digital images of mural paintings of large scale using a simple method. Then, panoramic images were created using three methods: the novel method with other two methods, Photoshop (available in the market) and Hugin (open source software). Subjective evaluation was applied through experts in the field of Visual Arts. Participants were asked to rate the quality using four-point Likert scale for color balance, noise and distortion as predictor variables and overall quality as the response variable of panoramic images. Ordinal logistic regression was fitted through Minitab statistical package and the results showed that color balance and noise and distortion are two important attributes for the quality of the panoramic images. Moreover, the collected data fit the model at a higher accuracy. Full paper submission of ICIET 2021