Global view and depth (GVD) format for FTV/3DTV

Tanimoto, Masayuki; Suzuki, Kazuyoshi

doi:10.1117/12.2018595

Cited by 11 publications

(3 citation statements)

References 16 publications

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“…The result of size (C) represents the number of mobile cameras that have not been assigned a transmission order. Because size (C) is 1, the access point selects mobile camera 3 from C. Mobile camera 3 is the closest to mobile camera 2 of the mobile cameras in C. The access point sets mobile camera 3's ID to order [2] and mobile camera 2's ID to order [3] to realize bidirectional interview prediction for mobile camera 2's encoding. The access point removes mobile camera 3's ID from C and calculates size (C) to confirm the number of mobile cameras that have not been assigned a transmission order.…”

Section: Transmission Order Controlmentioning

confidence: 99%

“…Multi-view video provides an immersive perception of a 3D scene, and has paved the way for many emerging 3D applications, such as free viewpoint video [1], [2], 3DTV, and immersive teleconferencing [3]. Figure 1 shows the structure of a multi-view video system.…”

Section: Introductionmentioning

confidence: 99%

“…Typical decoder-level studies of image display include depth image-based rendering [15] and 3D warping [16], while FTV [2] and integral 3D television [17] are display-level approaches.…”

Section: Introductionmentioning

confidence: 99%

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Multi-view video streaming with mobile cameras

Kodera

Fujihashi

Saruwatari

et al. 2014

2014 IEEE Global Communications Conference

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Multi-view video system includes three sections: acquisition, transmission, and display. This paper focuses on the acquisition of multi-view video. Existing multi-view video acquisition studies exploit multi-camera arrays mutually connected by wires. However, this imposes the limitations of places and objects. To overcome the limitations, we exploit multiple mobile cameras and wireless networks for multi-view video acquisition. The acquisition of the multi-view video needs to achieve a reduction in video traffic while maintaining high video quality for communication between mobile cameras and an access point. This paper proposes Multi-view Video Streaming with Mobile Cameras (MVS/MC) to satisfy these requirements. MVS/MC has two features: packet overhearing and transmission order control. First, each mobile camera overhears other cameras' video packets, and encodes its own video frames using the overheard video packets. Second, the access point controls the transmission order of the mobile cameras, thus realizing bidirectional interview prediction. Bidirectional inter-view prediction exploits the inter-camera domain correlation among the mobile cameras to further remove the redundant information. Evaluations using multi-view video sequences show that, compared with existing methods, MVS/MC reduces the volume of traffic with only a slight degradation in video quality. For example, MVS/MC reduces traffic by 52 % compared to existing methods when PSNR is 36 dB.

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Section: Transmission Order Controlmentioning

confidence: 99%