MIV is the standard for efficiently compressing the media data represented by multiview video + depth (MVD). Examples of such media are virtual reality (VR), AR, and light field (LF), all of which have recently captured the attention of both markets and industries.Īs part of the MPEG-I project, the MPEG video coding (ISO/IEC JTC1/SC29/WG4) group has been actively pursuing the MPEG immersive video (MIV) standard, which began in 2018. The primary goal of the current project is to develop a comprehensive set of standards that will enable additional affordable and accessible media services that will provide a realistic audiovisual experience than traditional 2D-based media. The moving picture experts group (MPEG), which has played critical roles in developing a number of extensively used video compression standards and tools, has been working on a project called MPEG Immersive (I) since 2016. Because immersive video generally comprises a large amount of video and geometric data for covering a large viewing zone, the industry has seen a significant increase in the demand for standardized technology for efficiently compressing such largedata. Thus, various immersive video technologies have been extensively researched with the aim of supporting a full stereoscopic and six degrees of freedom (6DoF) effect based on the viewer's arbitrary movement. Recently, immersive video has evolved to support additional realistic and immersive media experiences with various types of viewing environments ranging from large-scale viewing devices such as multiscreen to personalized head-mounted display (HMD) or augmented reality (AR) glass. The proposed methods are evaluated under common test condition of MIV, and the results show that incorporating the proposed methods can improve both objective and subjective quality. The second method considers global region-wise color similarity to minimize matching ambiguity when determining the pruning area. The amount of overlapping region between the source views is then used to determine the pruning order. The first method determines the order in which images are pruned. In this study, two approaches are presented to improve the existing pruning algorithm. The primary aim of the pruning process is to reduce the amount of data that available video codec must handle. The pruning process, which is an important component of MIV technology, reduces interview redundancy in multiviews videos. Such services are provided by MIV technology, which uses multiview videos as input. The moving picture experts group (MPEG) immersive video (MIV) technology has been actively developed and standardized to efficiently deliver immersive video to viewers in order for them to experience immersion and realism in various realistic and virtual environments.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |