A Computational Approach to Edge Detection
IEEE Transactions on Pattern Analysis and Machine Intelligence
Segmentation through Variable-Order Surface Fitting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Data compression: the complete reference
Data compression: the complete reference
Nonparametric Segmentation of Curves into Various Representations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computer vision techniques for PDA accessibility of in-house video surveillance
IWVS '03 First ACM SIGMM international workshop on Video surveillance
Machine Vision: Theory, Algorithms, Practicalities
Machine Vision: Theory, Algorithms, Practicalities
An object-based video coding framework for video sequences obtained from static cameras
Proceedings of the 13th annual ACM international conference on Multimedia
User-friendly H.264/AVC for remote browsing
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Segmentation-based video coding system allowing the manipulation of objects
IEEE Transactions on Circuits and Systems for Video Technology
Hybrid layered video encoding and caching for resource constrained environments
Journal of Visual Communication and Image Representation
Proceedings of the 3rd Multimedia Systems Conference
Hybrid layered video encoding for mobile internet-based computer vision and multimedia applications
Mobile Multimedia Processing
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Digital video playback on mobile devices is fast becoming widespread and popular. Since mobile devices are typically resource constrained in terms of network bandwidth, battery power and available screen resolution, it is often necessary to formulate special encoding techniques in order to optimize power consumption during video streaming and playback. The existing H.264 standard is popular for video encoding on mobile devices, since it results in a low-bitrate video with visual clarity that is adequate for video playback on mobile devices. However, due to the complexity of the H.264 representation, the video decoding procedure is typically computationally intensive. In this paper, we propose a novel lossy video representation termed as Ligne-Claire (LC) video. LC videos are obtained via graphics overlay of outlines or silhouettes of objects in the video over an approximated texture video. Since the playback of LC video is typically meant for mobile devices, the visual quality of video is adequate for most mobile applications wherein the semantic content of the video can be characterized by object shapes and approximate texture information. Experimental results presented in the paper demonstrate that the proposed lossy LC video encoding scheme results in power savings of 50% or more during video playback compared to standard H.264-encoded videos, of similar video file size. In order to evaluate the visual quality of the LC video, we compare the performance of LC videos with H.264-encoded videos in the context of some typical computer vision tasks. Our results indicate that the performance of the computer vision algorithms on these videos is similar. This fact, coupled with subjective evaluation, and the resulting significant power savings, indicates that the proposed LC representation can be used effectively to encode video for power-constrained mobile devices.