Interactive transport of multi-view videos for 3DTV applications

Kurutepe, Engin; Civanlar, M.R.; Tekalp, A.M.

doi:10.1631/jzus.2006.a0830

Cited by 35 publications

(15 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The use of a Kalman filter for head movement prediction in scenarios where head movements can control the application have been proposed in [35]. In prior work on dynamic light fields, six Kalman filters have been used for predicting the 3-D co-ordinates and the 3 Euler angles that define the viewpoint [37,38]. The viewpoint and the rendering algorithm together determine the number of views that need to be streamed to the client.…”

Section: Navigation Path Predictionmentioning

confidence: 99%

Video Streaming with Interactive Pan/Tilt/Zoom

Mavlankar

Girod

2010

Signals and Communication Technology

View full text Add to dashboard Cite

High-spatial-resolution videos offer the possibility of viewing an arbitrary region-of-interest (RoI) interactively. The user can pan/tilt/zoom while watching the video. This chapter presents spatial-random-access-enabled video compression that encodes the content such that arbitrary RoIs corresponding to different zoom factors can be extracted from the compressed bit-stream. The chapter also covers RoI trajectory prediction, which allows pre-fetching relevant content in a streaming scenario. The more accurate the prediction the lower is the percentage of missing pixels. RoI prediction techniques can perform better by adapting according to the video content in addition to simply extrapolating previous moves of the input device. Finally, the chapter presents a streaming system that employs application-layer peer-to-peer (P2P) multicast while still allowing the users to freely choose individual RoIs. The P2P overlay adapts on-the-fly for exploiting the commonalities in the peers' RoIs. This enables peers to relay data to each other in real-time, thus drastically reducing the bandwidth required from dedicated servers.

show abstract

Section: Navigation Path Predictionmentioning

confidence: 99%

Video Streaming with Interactive Pan/Tilt/Zoom

Mavlankar

Girod

2010

Signals and Communication Technology

View full text Add to dashboard Cite

show abstract

“…Ramanathan used a simple autoregressive moving average (ARMA) model for predicting the future viewpoint of the user in his work on interactive streaming of lightfields [3]. Kurutepe et al used a more advanced linear predictor, namely, the Kalman filter to predict the future viewpoint for interactive 3DTV [4], [5]. However, all these approaches are agnostic of the video content itself.…”

Section: Manual Modementioning

confidence: 99%

Region-of-interest prediction for interactively streaming regions of high resolution video

Mavlankar¹,

Varodayan²,

Girod³

2007

Packet Video 2007

View full text Add to dashboard Cite

This projects considers region-of-interest (ROI) prediction strategies for a client-server system that interactively streams regions of high resolution video. The system operates in two modes. In manual mode, the user interacts actively to view select regions in each frame of video. In tracking mode, the user simply indicates an object to track and the system supplies a ROI trajectory without further interaction. In both cases, the client has a buffer of low resolution overview video frames available. We propose and study ROI prediction schemes that can take advantage of the motion information contained in these buffer frames. For the manual mode, prediction aids pre-fetching and aims to reduce distortion experienced by the viewer. For the tracking mode, the prediction aims to create a smooth and stable trajectory that satisfies the user's expectation of tracking.

show abstract

“…To interactively transmit multiview video over IP channels, many multicast streaming methods are proposed to deliver the video data compressed by simulcast coding of each view [17,18]. For jointly coded multiview video streaming, which delivers the jointly coded multiview video, E. Kurutepe et al [19] first proposed a scalable multiview video coding (SMVC) scheme to support client-driven selective streaming for interactive 3D-TV application.…”

Section: Introductionmentioning

confidence: 99%