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Ting Shoemaker

dblp:188/1156 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 1

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.

Human-computer interaction and pervasive computing
1 paper
Wearable and physiological sensing · 77% Human-robot interaction · 23%
Computer graphics and multimedia
1 paper
Multimedia systems and quality of experience · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wearable and physiological sensing › multimodal sensing
eye tracking and EEG
0.212016
What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording · ACM Multimedia 2016
Multimedia systems and quality of experience
video quality assessment
0.112016
What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording · ACM Multimedia 2016
Human-robot interaction
viewer perception
0.112016
What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording · ACM Multimedia 2016

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

simultaneous EEG recording · 0.5feature mining · 0.5eye tracking · 0.5
YearPublicationVenuePosition
2016 What Makes a Good Movie Trailer?: Interpretation from Simultaneous EEG and Eyetracker Recording
abstract
What makes a good movie trailer? It's a big challenge to answer this question because of the complexity of multimedia in both low level sensory features and high level semantic features. However, human perception and reactivity could be straightforward evidence for evaluation. Modern Electro-encephalography (EEG) technology provides measurement of consequential brain neural activity to external stimuli. Meanwhile, visual perception and attention could be captured and interpreted by Eye Tracking technology. Intuitively, simultaneous EEG and Eye Tracker recording of human audience with multimedia stimuli could bridge the gap between human comprehension and multimedia analysis, and provide a new way for movie trailer evaluation. In this paper, we propose a novel platform to simultaneously record EEG and eye movement for participants with video stimuli by integrating 256-channel EEG, Eye Tracker and video display device as a system. Based on the proposed system a novel experiment has been designed, in which independent and joint features of EEG and Eye tracking data were mined to evaluate the movie trailer. Our analysis has shown interesting features that are corresponding with trailer quality and video shoot changes.
Sidi Liu, Jinglei Lv, Ting Shoemaker, Qinglin Dong, Kaiming Li, Tianming Liu 0001
ACM Multimedia4