Abstract: A method is provided for an intelligent video processing system based on object detection. The method includes receiving an input video sequence corresponding to a video program, obtaining a plurality of frames of the input video sequence, and obtaining a computational constraint and a temporal rate constraint. The method also includes determining one or more regions of interest (ROIs) of the plurality of frames based on the computational constraint and temporal rate constraint, and selecting a desired set of frames from the plurality of frames based on the ROIs such that the desired set of frames substantially represent a view path of the plurality of frames. Further, the method includes detecting object occurrences from the desired set of frames based on the selected desired set of frames such that a computational cost and a number of frames for detecting the object occurrences are under the computational constraint and temporal rate constraint.

Abstract: A method is provided for an intelligent video processing system based on object detection. The method includes receiving an input video sequence corresponding to a video program, obtaining a plurality of frames of the input video sequence, and obtaining a computational constraint and a temporal rate constraint. The method also includes determining one or more regions of interest (ROIs) of the plurality of frames based on the computational constraint and temporal rate constraint, and selecting a desired set of frames from the plurality of frames based on the ROIs such that the desired set of frames substantially represent a view path of the plurality of frames. Further, the method includes detecting object occurrences from the desired set of frames based on the selected desired set of frames such that a computational cost and a number of frames for detecting the object occurrences are under the computational constraint and temporal rate constraint.

Abstract: A method is provided for an intelligent user-interaction system based on object detection. The method includes receiving an input video sequence corresponding to a video program, and dividing the input video sequence into a plurality of video shots, each containing one or more video frames. The method also includes detecting possible object occurrences in each of the plurality of video shots, and analyzing possible paths of an object in a video shot using a multimodal-cue approach. Further, the method includes aggregating the path-based selected object occurrences across the plurality of video shots to detect objects, and generating a complete list of the object occurrences across the plurality of video shots.