Adaptive encoding of zoomable video streams based on user access pattern

Ngo, Khiem Quang Minh; Ravindra, Guntur; Ooi, Wei Tsang

doi:10.1145/1943552.1943581

Cited by 18 publications

(13 citation statements)

References 14 publications

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“…In this respect, researchers in the multimedia community have for some time analyzed region-of-interest streaming solutions. For example, tiling is discussed in [6], [7], [8], [9], [10]. Furthermore, [11], [12], [13], [14], [15] extensively address the problem of automatically generating personalized content, and [16] discusses plain cropping.…”

Section: Related Workmentioning

confidence: 99%

Tiling of panorama video for interactive virtual cameras: Overheads and potential bandwidth requirement reduction

Gaddam

Ngo

Langseth

et al. 2015

2015 Picture Coding Symposium (PCS)

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Abstract-Delivering high resolution, high bitrate panorama video to a large number of users introduces huge scaling challenges. To reduce the resource requirement, researchers have earlier proposed tiling in order to deliver different qualities in different spatial parts of the video. In our work, providing an interactive moving virtual camera to each user, tiling may be used to reduce the quality depending on the position of the virtual view. This raises new challenges compared to existing tiling approaches as the need for high quality tiles dynamically change. In this paper, we describe a tiling approach of panorama video for interactive virtual cameras where we provide initial results showing the introduced overheads and the potential reduction in bandwidth requirement.

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Section: Related Workmentioning

confidence: 99%

Tiling of panorama video for interactive virtual cameras: Overheads and potential bandwidth requirement reduction

Gaddam

Ngo

Langseth

et al. 2015

2015 Picture Coding Symposium (PCS)

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“…In many videos, the RoI has a locality of reference that may be predicted [11] and exploited [10,12]. The probability that users would select a region is dependent on the content in the video and changes for every GoP.…”

Section: Expectationmentioning

confidence: 99%

“…While attempts have been made to improve bandwidth efficiency by encoding video based on RoI access pattern [12], reducing bandwidth alone would not suffice as there is a limit to the extent to which bandwidth may be reduced without degrading the video quality. In a one-hop wireless LAN, one could exploit an optimal combination of multicast and unicast capabilities of the access point, in order to transmit overlapping and non-overlapping regions of users' RoIs.…”

Section: Introductionmentioning

confidence: 99%

On tile assignment for region-of-interest video streaming in a wireless LAN

Ravindra

Ooi

2012

Proceedings of the 22nd International Workshop on Network and Operating System Support for Digital Audio and Video

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We consider the following problem in this paper: A video is encoded as a set of tiles T and is streamed to multiple users via a onehop wireless LAN. Each user selects a region-of-interest (RoI), represented as a subset of T , in the video to watch. The RoI selected by the users may overlap. Each tile may be multicast or unicast. We define the tile assignment problem as: which subset of tiles should be multicast such that every user receives, within a transmission deadline, the subset of tiles pertaining to the RoI the user selected, while minimizing the number of unwanted tiles received by users. We present and evaluate five tile assignment methods. We show that: (i) minimizing transmission delay can lead to significant wasteful reception in the multicast group, (ii) using tile access probability to assign tiles frequently leads to assignments that violate the deadline, and (iii) a fast, greedy, heuristic works well: it performs close to the optimal method and can always find an assignment within the deadline (as long as such assignment exists).

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“…Utilizing zoomable video to save bandwidth by refining the encoding process is studied by Ngo et al [4]; Zoomable video on peer-to-peer streaming is explored by Mavlankar et al [5]; RoI prediction and tracking for streaming zoomable video has also been examined [6][7][8]; multiple RoIs support is investigated by Bae et al [9].…”

Section: Related Workmentioning

confidence: 99%

“…proposed an approach to reduce dependency due to motion compensation [4]. We adopted their technique in this research.…”

Section: Dependenciesmentioning

confidence: 99%

Zoomable Video Playback on Mobile Devices by Selective Decoding

Liu

Ooi

2012

Advances in Multimedia Information Processing – PCM 2012

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Abstract. Modern mobile devices support multi-touch gestures that allow users to naturally zoom into and pan around Web pages, photos, and videos. When users zoom into a video, only part of the region in the video frames are displayed. Ideally, only the regions that the user is viewing are decoded, reducing the computation time (hence increasing the playback frame rate) and power consumption. We call this selective decoding. We have implemented a system consisting of an offline analyzer and a mobile video player that implements selective decoding in MPEG-4 Part 2 Simple Profile codec. The analyzer traces various dependency relationships among macroblocks of a given video and produces a meta-data file. The mobile video player supports zoom and pan gestures, and uses the meta-data to trace the macroblocks that are needed to decode the RoI. The player uses a modified decoding process to decode macroblocks selectively based on the trace. Our experiments show that selective decoding can improve playback frame rate by up to 193.3% and reduce energy consumption by up to 64.5%.

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Adaptive encoding of zoomable video streams based on user access pattern

Cited by 18 publications

References 14 publications

Tiling of panorama video for interactive virtual cameras: Overheads and potential bandwidth requirement reduction

Tiling of panorama video for interactive virtual cameras: Overheads and potential bandwidth requirement reduction

On tile assignment for region-of-interest video streaming in a wireless LAN

Zoomable Video Playback on Mobile Devices by Selective Decoding

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