## 2 Related Work  
Many researchers have worked on providing narratives and visual guidance in 360\({}^{\circ}\) video to focus on the ROI at the right time [2; 5]. From a wide field of view in VR, a user can have an immersive experience of being in specific ROI in 360\({}^{\circ}\) video based on their interest [6]. Facebook launched a guide [7] to let the providers of 360\({}^{\circ}\) video content set narratives by highlighting points of interest over  
Figure 2: Our framework supports the generation of multiple experiences from a single 360\({}^{\circ}\) panoramic video. The first part generates a narrative for the 360\({}^{\circ}\) video experience. Later, the experience is transferred to prospective users using adaptive focus assistance. the course of complete visual content. In this way, it is possible to direct a user's attention towards an ROI in 360\({}^{\circ}\) VR. It is very imperative to show only interesting information from a wide view of 360\({}^{\circ}\) video to the viewer. However, a difficult aspect is to decide which information is more interesting, since this is very subjective. In 2016 and 2017, [PERSON] et al. proposed methods to generate a normal field of view (NFOV) video from 360\({}^{\circ}\) video based on regions of interesting information in panoramic frames [8; 9]. The first issue is that the NFOV videos restrict immersiveness and the viewer's interaction with the visual content in 360\({}^{\circ}\) VR. Moreover, these methods generated a single summarized NFOV video based on interesting information in a panoramic video decided by their learned deep model. However, our system makes it possible to generate various interesting experiences from a single 360\({}^{\circ}\) video. Another issue in those approaches was that the user could not give any input in generating a NFOV video. It was similar to a black box to them. However, we enable users to generate 360\({}^{\circ}\) video experiences interactively based on their interests. Furthermore, those approaches were deep learning based and required high processing units to operate and were not in real time. In contrast, our system uses a very small amount of processing power and runs in real-time on a CPU, as shown by Figure 11 presented in the section on experimental results, and so is capable of running on devices with hardware constraints. Panoramic cameras are rapidly gaining in popularity, resulting in the researchers' focus on image processing in 360\({}^{\circ}\) videos, e.g., [PERSON] and [PERSON] et al. [10] who designed an agent to control the viewing angle in panoramic sports videos. In 2013, [PERSON] and [PERSON] proposed a methodology for real-time person tracking in panoramic videos [11]. Some other human detection and tracking methods are also in the literature [12; 13; 14], which show that object tracking is currently a hot research topic. A variety of techniques have been used for object tracking. [PERSON] et al. [15] used differences in background and radial profile in dual camera systems for tracking objects. In 2016, [PERSON] et al. [16] presented a method for tracking a polar object in 360\({}^{\circ}\) polar images. Furthermore, in 2017 they presented another framework for robust and fast object tracking in 360\({}^{\circ}\) polar videos [17]. However, the processing speed of their framework did not meet the requirement of being in real time. In 2018, [PERSON] et al. made refinements to their previous work presented in [16] and designed an enhanced polar model [18] for fast object tracking in polar sequences. Still, with a speed of 9 fps, they could not get much closer to real time. Perhaps the work presented by [PERSON] et al. in [3] is most relevant to our work. The method presented in this work focused on tracking of unknown objects in 360\({}^{\circ}\) polar sequences. After manual selection of the desired object, it used an online training method for tracking the object in the rest of the frames. However, the processing speed of all the object tracking algorithms described above was not in real time.