RECOGNIZING SALIENT VIDEO EVENTS THROUGH LEARNING-BASED MULTIMODAL ANALYSIS OF VISUAL FEATURES AND AUDIO-BASED ANALYTICS

RECOGNIZING SALIENT VIDEO EVENTS THROUGH LEARNING-BASED MULTIMODAL ANALYSIS OF VISUAL FEATURES AND AUDIO-BASED ANALYTICS

A computing system for recognizing salient events depicted in a video utilizes learning algorithms to detect audio and visual features of the video. The computing system identifies one or more salient events depicted in the video based on the audio and visual features.

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Bibliographische Detailangaben
Hauptverfasser: CHENG HUI, WEINER STEVEN S, CHISOLM DAVID, LIU JINGEN, SAWHNEY HARPREET SINGH, CHAKRABORTY ISHANI, SIDDIQUIE BEHJAT, DIVAKARAN AJAY, SHRIBERG ELIZABETH, JAVED OMAR
Format: Patent
Sprache:eng
Schlagworte:
CALCULATING
COMPUTING
COUNTING
ELECTRIC COMMUNICATION TECHNIQUE
ELECTRICITY
HANDLING RECORD CARRIERS
PHYSICS
PICTORIAL COMMUNICATION, e.g. TELEVISION
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Beschreibung
Zusammenfassung:A computing system for recognizing salient events depicted in a video utilizes learning algorithms to detect audio and visual features of the video. The computing system identifies one or more salient events depicted in the video based on the audio and visual features.