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Tzu-Chieh Yen

dblp:02/9952 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2011
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Visual content generation and editing · 61% Image and video processing · 30% Computational photography and imaging · 9%

Topics — the 4 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visual content generation and editing › video retargeting
content-aware video retargeting
0.112011
Maintaining Temporal Coherence in Video Retargeting Using Mosaic-Guided Scaling · IEEE Trans. Image Process. 2011
Image and video processing › video processing
temporal consistency
0.112011
Maintaining Temporal Coherence in Video Retargeting Using Mosaic-Guided Scaling · IEEE Trans. Image Process. 2011
Visual content generation and editing
video retargeting
0.112011
Maintaining Temporal Coherence in Video Retargeting Using Mosaic-Guided Scaling · IEEE Trans. Image Process. 2011
Computational photography and imaging › image stitching
panoramic image stitching
0.012011
Maintaining Temporal Coherence in Video Retargeting Using Mosaic-Guided Scaling · IEEE Trans. Image Process. 2011

Methods — techniques the papers use, named apart from their topics

spatial coherence constraints · 0.1mosaic-guided scaling · 0.1
YearPublicationVenuePosition
2011 Maintaining Temporal Coherence in Video Retargeting Using Mosaic-Guided Scaling
abstract
Video retargeting from a full-resolution video to a lower resolution display will inevitably cause information loss. Content-aware video retargeting techniques have been studied to avoid critical visual information loss while resizing a video. Maintaining the spatio-temporal coherence of a retargeted video is very critical on visual quality. Camera motions and object motions, however, usually make it difficult to maintain temporal coherence using existing schemes. In this paper, we propose the use of a panoramic mosaic to guide the scaling of corresponding regions of video frames in a video shot to ensure good temporal coherence. In the proposed method, after aligning video frames in a shot to a panoramic mosaic constructed for the shot, a global scaling map for these frames is derived from the panoramic mosaic. Subsequently, the local scaling maps of individual frames are derived from the global map and is further refined according to spatial coherence constraints. Our experimental results show that the proposed method can effectively maintain temporal coherence so as to achieve good visual quality even a video contains camera motions and object motions.
Tzu-Chieh Yen, Chia-Ming Tsai, Chia-Wen Lin
IEEE Trans. Image Process.1