JPEG Pleno: Toward an Efficient Representation of Visual Reality

Ebrahimi, Touradj; Foessel, Siegfried; Pereira, Fernando; Schelkens, Peter

doi:10.1109/mmul.2016.64

Cited by 148 publications

(70 citation statements)

References 1 publication

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“…Current efforts have a greater focus on still image visualization than video content transmission. For instance, if we look at the large collaborations, the JPEG Pleno framework [6] is already developing a light field format for standardization purposes. MPEG-I for immersive media has only recently started addressing light field.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Concept of Dynamic Adaptive Streaming of Light Field Video

Kara

Cserkaszky

Martini

et al. 2018

IEEE Trans. on Broadcast.

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Abstract-Light field visualization has progressed and developed significantly in the past years. At the time of this paper, light field displays are utilized in the industry and they are commercially available as well. Although their appearance on the consumer market is approaching, many potential applications of light field technology have not yet been addressed, such as video streaming. In this paper, we present our research on the dynamic adaptive streaming of light field video. In order to evaluate the presented concept of quality switching, we carried out a series of subjective tests, where test participants were shown light field videos containing stallings and switches in spatial and angular resolution.

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Section: Introductionmentioning

confidence: 99%

Evaluation of the Concept of Dynamic Adaptive Streaming of Light Field Video

Kara

Cserkaszky

Martini

et al. 2018

IEEE Trans. on Broadcast.

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“…The recent call for proposal by JPEG also referred to as JPEG Pleno reflects the requirement of new compression tools for light field data. 8 In this paper, we present a compression scheme for light field data capture with multi-camera system. Each view of captured LF is interpreted as frame of multi view sequence and pseudo multi-view sequence is given as input to MV-HEVC.…”

Section: Introductionmentioning

confidence: 99%

“…Recently, JPEG has issued a call for light field compression proposal also named as JPEG Pleno to further advance the state-of-art methods. 8 The compression solution for plenoptic image can be classified in two groups. In the first group, the captured plenoptic image is treated as a single 2D image and novel tools are introduced in HEVC image compression standard to efficiently exploit the correlation present in the plenoptic image.…”

mentioning

confidence: 99%

Compression scheme for sparsely sampled light field data based on pseudo multi-view sequences

Waqas

Sjöström

Olsson

2018

Optics, Photonics, and Digital Technologies for Imaging Applications V

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With the advent of light field acquisition technologies, the captured information of the scene is enriched by having both angular and spatial information. The captured information provides additional capabilities in the post processing stage, e.g. refocusing, 3D scene reconstruction, synthetic aperture etc. Light field capturing devices are classified in two categories. In the first category, a single plenoptic camera is used to capture a densely sampled light field, and in second category, multiple traditional cameras are used to capture a sparsely sampled light field. In both cases, the size of captured data increases with the additional angular information. The recent call for proposal related to compression of light field data by Joint Picture Expert Group (JPEG), also called JPEG Pleno, reflects the need of a new and efficient light field compression solution. In this paper, we propose a compression solution for sparsely sampled light field data. Each view of multi-camera system is interpreted as a frame of multi-view sequences. The pseudo multi-view sequences are compressed using state-ofart Multiview-extension of High Efficiency Video Coding (MV-HEVC). A subset of four light field images from Stanford dataset are compressed, on four bit-rates in order to cover the low to high bit-rates scenarios. The comparison is made with state-of-art reference encoder HEVC and its real-time implementation x265. The rate distortion analysis shows that the proposed compression scheme outperforms both reference schemes in all tested bit-rate scenarios for all the test images. The average BD-PSNR gain of 1.36 dB over HEVC and 2.15 dB over x265 is achieved using the proposed compression scheme.

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“…In order to further increase the quality of experience (QoE), emerging video formats aim at offering immersive video features: on one hand, by enabling higher interactivity, such as in free-viewpoint and 360-degrees video [1], [2]; and on the other hand, by providing a better reproduction fidelity, e.g., by increasing the video resolution and field of view (FOV), or the range of reproducible luminance and dynamic range [3].…”

Section: Introductionmentioning

confidence: 99%

Quality of experience in UHD-1 phase 2 television: The contribution of UHD+HFR technology

Hulusić

Valenzise

Gicquel

et al. 2017

2017 IEEE 19th International Workshop on Multimedia Signal Processing (MMSP)

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Abstract-A key factor to determine the quality of experience (QoE) of a video is its capability to convey the large spectrum of perceptual phenomena that our eyes can sense in real life. In order to meet this demand, the recent DVB UHD-1 Phase 2 specification employs new video features, such as higher spatial resolutions (4K/8K) and High Frame Rate (HFR). The first enables larger field of view and level of details, while the second offers sharper images of moving objects going well beyond the current frame rates. While the contribution of each of these technologies to QoE has been investigated individually, in this paper we are interested to study their interaction, and in quantifying the benefits to users from their combination. To this end, we conduct a subjective test on compressed UHD+HFR content on a recent display capable of reproducing 100 pictures per second at 2160p resolution, with the goal to assess the increase in QoE of UHD and HFR with respect to conventional video, both individually and in combination. The results indicate that for content with fast motion, at higher bitrates the combination of UHD and HFR significantly improves the QoE compared to that obtained when these features are used individually.

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JPEG Pleno: Toward an Efficient Representation of Visual Reality

Cited by 148 publications

References 1 publication

Evaluation of the Concept of Dynamic Adaptive Streaming of Light Field Video

Evaluation of the Concept of Dynamic Adaptive Streaming of Light Field Video

Compression scheme for sparsely sampled light field data based on pseudo multi-view sequences

Quality of experience in UHD-1 phase 2 television: The contribution of UHD+HFR technology

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