A content-based bit allocation model for video streaming

Wei Lai; Xiao-Dong Gu; Ren-Hua Wang; Wei-Ying Ma; Hong-Jiang Zhang

doi:10.1109/icme.2004.1394469

A content-based bit allocation model for video streaming

Wei Lai
, Xiao-Dong Gu
, Ren-Hua Wang
, Wei-Ying Ma
, Hong-Jiang Zhang

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

23 Citations (Scopus)

Abstract

Traditional video coding and streaming algorithms do not been fully utilized in content information of video in bit allocation and adaptation. This paper proposes a content-based video streaming method based on visual attention model to better utilize network bandwidth and achieve better subjective video quality. First, visual attention model is exploited to segment the Regions of Interest (ROI) in video frames. Then, considering the ROI is more sensitive to coding error than other regions, a region-weighted rate-distortion model is developed to allocate suitable bits for all ROI and non-ROI regions. The evaluation results indicate that more than 60% of the test video sequences encoded by the proposed method can obtain better subjective visual quality compared to the video encoded by classical method under the same bandwidth, and about 20% of them can not be distinguished.
© 2004 IEEE

Original language	English
Title of host publication	2004 IEEE International Conference on Multimedia and Expo (ICME)
Pages	1315-1318
Volume	2
DOIs	https://doi.org/10.1109/icme.2004.1394469
Publication status	Published - 2004
Externally published	Yes
Event	2004 IEEE International Conference on Multimedia and Expo (ICME) - Taipei, Taiwan, China Duration: 27 Jun 2004 → 30 Jun 2004

Publication series

Name	2004 IEEE International Conference on Multimedia and Expo (ICME)
Volume	2

Conference

Conference	2004 IEEE International Conference on Multimedia and Expo (ICME)
Place	Taiwan, China
City	Taipei
Period	27/06/04 → 30/06/04

Bibliographical note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

Research Keywords

Attention Model
Content-based Video Streaming
MPEG-4 Standard
Rate-Distortion Model

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10.1109/icme.2004.1394469

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Cite this

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title = "A content-based bit allocation model for video streaming",

abstract = "Traditional video coding and streaming algorithms do not been fully utilized in content information of video in bit allocation and adaptation. This paper proposes a content-based video streaming method based on visual attention model to better utilize network bandwidth and achieve better subjective video quality. First, visual attention model is exploited to segment the Regions of Interest (ROI) in video frames. Then, considering the ROI is more sensitive to coding error than other regions, a region-weighted rate-distortion model is developed to allocate suitable bits for all ROI and non-ROI regions. The evaluation results indicate that more than 60\% of the test video sequences encoded by the proposed method can obtain better subjective visual quality compared to the video encoded by classical method under the same bandwidth, and about 20\% of them can not be distinguished. {\textcopyright} 2004 IEEE",

keywords = "Attention Model, Content-based Video Streaming, MPEG-4 Standard, Rate-Distortion Model",

author = "Wei Lai and Xiao-Dong Gu and Ren-Hua Wang and Wei-Ying Ma and Hong-Jiang Zhang",

note = "Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].; 2004 IEEE International Conference on Multimedia and Expo (ICME) ; Conference date: 27-06-2004 Through 30-06-2004",

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language = "English",

isbn = "0780386035",

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Lai, W, Gu, X-D, Wang, R-H, Ma, W-Y & Zhang, H-J 2004, A content-based bit allocation model for video streaming. in 2004 IEEE International Conference on Multimedia and Expo (ICME). vol. 2, 2004 IEEE International Conference on Multimedia and Expo (ICME), vol. 2, pp. 1315-1318, 2004 IEEE International Conference on Multimedia and Expo (ICME), Taipei, Taiwan, China, 27/06/04. https://doi.org/10.1109/icme.2004.1394469

A content-based bit allocation model for video streaming. / Lai, Wei; Gu, Xiao-Dong; Wang, Ren-Hua et al.
2004 IEEE International Conference on Multimedia and Expo (ICME). Vol. 2 2004. p. 1315-1318 (2004 IEEE International Conference on Multimedia and Expo (ICME); Vol. 2).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

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AU - Lai, Wei

AU - Gu, Xiao-Dong

AU - Wang, Ren-Hua

AU - Ma, Wei-Ying

AU - Zhang, Hong-Jiang

N1 - Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to [email protected].

PY - 2004

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N2 - Traditional video coding and streaming algorithms do not been fully utilized in content information of video in bit allocation and adaptation. This paper proposes a content-based video streaming method based on visual attention model to better utilize network bandwidth and achieve better subjective video quality. First, visual attention model is exploited to segment the Regions of Interest (ROI) in video frames. Then, considering the ROI is more sensitive to coding error than other regions, a region-weighted rate-distortion model is developed to allocate suitable bits for all ROI and non-ROI regions. The evaluation results indicate that more than 60% of the test video sequences encoded by the proposed method can obtain better subjective visual quality compared to the video encoded by classical method under the same bandwidth, and about 20% of them can not be distinguished. © 2004 IEEE

AB - Traditional video coding and streaming algorithms do not been fully utilized in content information of video in bit allocation and adaptation. This paper proposes a content-based video streaming method based on visual attention model to better utilize network bandwidth and achieve better subjective video quality. First, visual attention model is exploited to segment the Regions of Interest (ROI) in video frames. Then, considering the ROI is more sensitive to coding error than other regions, a region-weighted rate-distortion model is developed to allocate suitable bits for all ROI and non-ROI regions. The evaluation results indicate that more than 60% of the test video sequences encoded by the proposed method can obtain better subjective visual quality compared to the video encoded by classical method under the same bandwidth, and about 20% of them can not be distinguished. © 2004 IEEE

KW - Attention Model

KW - Content-based Video Streaming

KW - MPEG-4 Standard

KW - Rate-Distortion Model

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DO - 10.1109/icme.2004.1394469

M3 - RGC 32 - Refereed conference paper (with host publication)

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Y2 - 27 June 2004 through 30 June 2004

ER -

A content-based bit allocation model for video streaming

Abstract

Publication series

Conference

Bibliographical note

Research Keywords

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