Video Editing Based on Situation Awareness from Voice Information and Face Emotion

Takiguchi, Tetsuya; Adachi, Jun; Ariki, Yasuo

doi:10.5772/8040

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Employing multiple cues including soundtrack to improve reliability has been a common approach, adopted by systems including the fullyautomatic video editing application Magisto (http://www.magisto.com/). Another system designed for home use (Takiguchi, Adachi, & Ariki, 2010) relies on speech detection to spot scenes of interest, and then attempts to perform facial expression recognition.…”

Section: Introductionmentioning

confidence: 99%

Video Face Tracking and Recognition with Skin Region Extraction and Deformable Template Matching

Clippingdale¹,

Fujii²

2012

International Journal of Multimedia Data Engineering and Management

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The authors describe a face tracking and recognition system for video indexing that handles variable face poses (left-right and up-down) and deformations due to speech and facial expressions. The system is based on deformable template matching, and employs person-specific templates at near-frontal poses for recognition, and novel person-independent templates at multiple poses on the view-sphere for tracking. Relative to an earlier version that used multiple person-specific templates at multiple (left-right) poses, the new system speeds up processing by (i) restricting attention to skin-color regions; (ii) performing recognition using the person-specific templates at near-frontal poses only; and (iii) tracking at non-frontal poses using the novel person-independent templates. Registration is also simplified since multiple views of each target individual are no longer required, but at the cost of a loss of recognition functionality at poses far from frontal (the system instead “remembers” the identity of each individual from near-frontal matches and tracks between them).

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Section: Introductionmentioning

confidence: 99%