國立虎尾科技大學 |

Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression/ by Dominic Rüfenacht.
作者:	Rüfenacht, Dominic.
面頁冊數:	XXIII, 182 p. 92 illus., 62 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Signal processing. -
電子資源:	https://doi.org/10.1007/978-981-10-8225-2
ISBN:	9789811082252

Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression
Rüfenacht, Dominic.

Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression[electronic resource] /by Dominic Rüfenacht. - 1st ed. 2018. - XXIII, 182 p. 92 illus., 62 illus. in color.online resource. - Springer Theses, Recognizing Outstanding Ph.D. Research,2190-5053. - Springer Theses, Recognizing Outstanding Ph.D. Research,.

Introduction -- Scalable Image and Video Compression -- Temporal Frame Interpolation (TFI) -- Motion-Discontinuity-Aided Motion Field Operations -- Bidirectional Hierarchical Anchoring (BIHA) of Motion -- Forward-Only Hierarchical Anchoring (FOHA) of Motion -- Base-Anchored Motion (BAM) -- Conclusions and Future Directions.

This thesis explores the motion anchoring strategies, which represent a fundamental change to the way motion is employed in a video compression system—from a “prediction-centric” point of view to a “physical” representation of the underlying motion of the scene. The proposed “reference-based” motion anchorings can support computationally efficient, high-quality temporal motion inference, which requires half as many coded motion fields as conventional codecs. This raises the prospect of achieving lower motion bitrates than the most advanced conventional techniques, while providing more temporally consistent and meaningful motion. The availability of temporally consistent motion can facilitate the efficient deployment of highly scalable video compression systems based on temporal lifting, where the feedback loop used in traditional codecs is replaced by a feedforward transform.The novel motion anchoring paradigm proposed in this thesis is well adapted to seamlessly supporting “features” beyond compressibility, including high scalability, accessibility, and “intrinsic” frame upsampling. These features are becoming ever more relevant as the way video is consumed continues to shift from the traditional broadcast scenario with predefined network and decoder constraints to interactive browsing of video content via heterogeneous networks.

ISBN: 9789811082252

Standard No.: 10.1007/978-981-10-8225-2doiSubjects--Topical Terms:

561459
Signal processing.

LC Class. No.: TK5102.9

Dewey Class. No.: 621.382

Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression
LDR:03199nam a22004335i 4500 001 987156
003 DE-He213
005 20200702175721.0
007 cr nn 008mamaa
008 201225s2018 si | s |||| 0|eng d
020 $a 9789811082252 $9 978-981-10-8225-2
024 7 $a 10.1007/978-981-10-8225-2 $2 doi
035 $a 978-981-10-8225-2
050 4 $a TK5102.9
050 4 $a TA1637-1638
072 7 $a TTBM $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TTBM $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 621.382 $2 23
100 1 $a Rüfenacht, Dominic. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1279627
245 1 0 $a Novel Motion Anchoring Strategies for Wavelet-based Highly Scalable Video Compression $h [electronic resource] / $c by Dominic Rüfenacht.
250 $a 1st ed. 2018.
264 1 $a Singapore : $b Springer Singapore : $b Imprint: Springer, $c 2018.
300 $a XXIII, 182 p. 92 illus., 62 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Springer Theses, Recognizing Outstanding Ph.D. Research, $x 2190-5053
505 0 $a Introduction -- Scalable Image and Video Compression -- Temporal Frame Interpolation (TFI) -- Motion-Discontinuity-Aided Motion Field Operations -- Bidirectional Hierarchical Anchoring (BIHA) of Motion -- Forward-Only Hierarchical Anchoring (FOHA) of Motion -- Base-Anchored Motion (BAM) -- Conclusions and Future Directions.
520 $a This thesis explores the motion anchoring strategies, which represent a fundamental change to the way motion is employed in a video compression system—from a “prediction-centric” point of view to a “physical” representation of the underlying motion of the scene. The proposed “reference-based” motion anchorings can support computationally efficient, high-quality temporal motion inference, which requires half as many coded motion fields as conventional codecs. This raises the prospect of achieving lower motion bitrates than the most advanced conventional techniques, while providing more temporally consistent and meaningful motion. The availability of temporally consistent motion can facilitate the efficient deployment of highly scalable video compression systems based on temporal lifting, where the feedback loop used in traditional codecs is replaced by a feedforward transform.The novel motion anchoring paradigm proposed in this thesis is well adapted to seamlessly supporting “features” beyond compressibility, including high scalability, accessibility, and “intrinsic” frame upsampling. These features are becoming ever more relevant as the way video is consumed continues to shift from the traditional broadcast scenario with predefined network and decoder constraints to interactive browsing of video content via heterogeneous networks.
650 0 $a Signal processing. $3 561459
650 0 $a Image processing. $3 557495
650 0 $a Speech processing systems. $3 564428
650 0 $a Optical data processing. $3 639187
650 0 $a Mathematics. $3 527692
650 0 $a Visualization. $3 574210
650 1 4 $a Signal, Image and Speech Processing. $3 670837
650 2 4 $a Image Processing and Computer Vision. $3 670819
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9789811082245
776 0 8 $i Printed edition: $z 9789811082269
776 0 8 $i Printed edition: $z 9789811340970
830 0 $a Springer Theses, Recognizing Outstanding Ph.D. Research, $x 2190-5053 $3 1253569
856 4 0 $u https://doi.org/10.1007/978-981-10-8225-2
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)