Abstract: Segments of interest within video footage are identified automatically. Such segments of interest include portions of the footage which were taken using a hand held camera and which show a static subject, portions which track the motion of a moving subject, and portions which show an abrupt event. Methods are presented for identifying such segments, based on motion and/or colour analysis of the video footage or based on observations of discontinuities in the video footage following a period of stability.

Abstract: Segments of interest within video footage are identified automatically. Such segments of interest include portions of the footage which were taken using a hand held camera and which show a static subject, portions which track the motion of a moving subject, and portions which show an abrupt event. Methods are presented for identifying such segments, based on motion and/or colour analysis of the video footage or based on observations of discontinuities in the video footage following a period of stability.

Abstract: Segments of interest within video footage are identified automatically. Such segments of interest include portions of the footage which were taken using a hand held camera and which show a static subject, portions which track the motion of a moving subject, and portions which show an abrupt event. Methods are presented for identifying such segments, based on motion and/or color analysis of the video footage or based on observations of discontinuities in the video footage following a period of stability.

Abstract: A method (100) of automatically editing audio and visual recordings to produce an audio-visual production using computer processing means. The method (100) involves a first step (101) of setting production criteria in which the desired production duration, target device, maximum execution time and location of media files are specified. In a second step (102) a style is selected for applying to the media files. A third step (103) of selecting ones of the media files involves selecting those media files in folders which have been accessed most recently by a user, based on awarding a score to folders. In a fourth step (104), the selected style is applied. This is followed in a fifth step (105) by rendering the production to the target device.

Abstract: Segments of interest within video footage are identified automatically. Such segments of interest include portions of the footage which were taken using a hand held camera and which show a static subject, portions which track the motion of a moving subject, and portions which show an abrupt event. Methods are presented for identifying such segments, based on motion and/or colour analysis of the video footage or based on observations of discontinuities in the video footage following a period of stability.

Abstract: Segments of interest within video footage are identified automatically. Such segments of interest include portions of the footage which were taken using a hand held camera and which show a static subject, portions which track the motion of a moving subject, and portions which show an abrupt event. Methods are presented for identifying such segments, based on motion and/or color analysis of the video footage or based on observations of discontinuities in the video footage following a period of stability.

Abstract: A method (100) of automatically editing audio and visual recordings to produce an audio-visual production using computer processing means. The method (100) involves a first step (101) of setting production criteria in which the desired production duration, target device, maximum execution time and location of media files are specified. In a second step (102) a style is selected for applying to the media files. A third step (103) of selecting ones of the media files involves selecting those media files in folders which have been accessed most recently by a user, based on awarding a score to folders. In a fourth step (104), the selected style is applied. This is followed in a fifth step (105) by rendering the production to the target device.

Abstract: Segments of interest within video footage are identified automatically. Such segments of interest include portions of the footage which were taken using a hand held camera and which show a static subject, portions which track the motion of a moving subject, and portions which show an abrupt event.

Abstract: A method, an apparatus, and a computer program product for extracting motion information (110) from a video sequence (130, 600) containing interframe motion vectors (120) are disclosed. In particular, motion information (110) is automatically extracted (610) from an encoded traffic video stream (600) to detect speed, density and flow. The motion information (110) extracted is under fixed camera settings and in a well-defined environment. The motion vectors (120) are first separated (610) from the compressed streams (130) during decoding and filtered (620) to eliminate incorrect and noisy motion vectors based on the well-defined environmental knowledge. By applying a projective transform (630) to the filtered motion vectors, speed, density, and flow can be detected (640, 650, 660). In this manner, a traffic monitoring system is implemented.