Abstract: Disclosed are systems, methods, and computer readable media having programs for classifying sports video. In one embodiment, a method includes: extracting, from an audio stream of a video clip, a plurality of key audio components contained therein; and classifying, using at least one of the plurality of key audio components, a sport type contained in the video clip. In one embodiment, a computer readable medium having a computer program for classifying ports video includes: logic configured to extract a plurality of key audio components from a video clip; and logic configured to classify a sport type corresponding to the video clip.

Abstract: The present invention discloses a method of processing a sports video. The method includes the steps of: analyzing the sports video to detect at least one semantic event and each of the at least one semantic event associated with a segment length; and generating a summarized video according to the detected at least one semantic event.

Abstract: A method and apparatus for assessing 3 dimensional video. The method includes computing at least one of 3 dimensional quality and geometric quality, and combining two quality values for overall 3 dimensional quality assessment.

Abstract: Disclosed are systems and methods for generating and embedding scene processing information in a multimedia source. Scene processing information is generated based on an analysis of audio, video and data properties of the multimedia source. The embedded scene processing information can be extracted from the multimedia source to assist in generating playback of the multimedia source as well as generating a summarized playback of the multimedia source.

Abstract: A system and a method for generating effects in a webcam application are provided. The method includes identifying a first object and a second object in a video image. The method also includes adding a first user-created object to the video image to create an altered video image and adding a second user-created object to the altered video image to further alter the altered video image. Other steps included are associating the second user-created object with the second object; identifying a movement of the second object; and moving the second user-created object in the altered video image in accordance with the association of the second user-created object with the second object. The first object is a static object, and the first user-created object is manually movable. The movement of the second user-created object in association with the second object is independent of a movement of the first user-created object.

Abstract: Disclosed are systems and methods for identifying a scene in a video or audio source containing sports content. A representative method includes: extracting audio data from a video source, the video source containing sports content, removing from the audio data sounds not producible by human, classifying scenes of the video source as important scenes of the video clip by analyzing the energy, pitch and tonality of at least one frame of the audio data and determining whether the at least one frame is an exciting scene.

Abstract: In a method for determining highlight segments of a sport video, the sport video having a plurality of image frames is analyzed to recognize a scoreboard image and a plurality of scoreboard characteristics thereof. The scoreboard image comprises at least one of the scoreboard characteristics. Then, a request message showing at least one recognized scoreboard characteristic is displayed on a user interface to receive a user response, wherein the user response includes a recognized result of one of the scoreboard characteristics. Finally, variations in the recognized scoreboard image among image frames can be monitored according to the user response. Therefore, the highlight segments of the sport video can be determined according to the variations.

Abstract: A method for implementing an adaptive mixing energy ratio between at least two soundtracks of video footage in a video image-editing environment is disclosed, the process being transparent to a user beyond a single step of initiation. The method includes applying at least one video/audio analysis technique to a session of video footage, demarcating the footage into a plurality of segments, determining a mixing energy ratio for each of the segments according to the analysis, and interpolating the mixing energy ratios for the segments to produce a mixing energy ratio profile before applying the mixing energy ratio profile to the session of video footage.

Abstract: In a method for determining highlight segments of a sport video, the sport video having a plurality of image frames is analyzed to recognize a scoreboard image and a plurality of scoreboard characteristics thereof. The scoreboard image comprises at least one of the scoreboard characteristics. Then, a request message showing at least one recognized scoreboard characteristic is displayed on a user interface to receive a user response, wherein the user response includes a recognized result of one of the scoreboard characteristics. Finally, variations in the recognized scoreboard image among image frames can be monitored according to the user response. Therefore, the highlight segments of the sport video can be determined according to the variations.

Abstract: A method for managing multimedia data includes receiving video data corresponding to a program, analyzing the video data for generating at least a sequence of streaming data corresponding to at least a predetermined content of the program, and outputting at least a sequence of streaming data to an electronic device via Internet, completely or selectively.

Abstract: The present invention discloses a method of processing a sports video. The method includes the steps of: analyzing the sports video to detect at least one semantic event and each of the at least one semantic event associated with a segment length; and generating a summarized video according to the detected at least one semantic event.

Abstract: Disclosed are systems and methods for generating and embedding scene processing information in a multimedia source. Scene processing information is generated based on an analysis of audio, video and data properties of the multimedia source. The embedded scene processing information can be extracted from the multimedia source to assist in generating playback of the multimedia source as well as generating a summarized playback of the multimedia source.

Abstract: A method dynamically adjusts recording time based on the difference of the video/audio characteristics between two consecutive image clips in a designated program. First, the method receives data signals corresponding to a designated program including a plurality of consecutive image clips and commercial clips, each of which is broadcast between two corresponding images clips. The method begins to record the data signals at a predetermined start time. Next, the method compares the video/audio characteristic of a first image clip broadcast before a reference commercial clip and a second image clip broadcast directly after the reference commercial clip. If the difference of the video/audio characteristics between the first and second image clips is larger than a predetermined value, the method stops recording the data signals.

Abstract: Disclosed are systems, methods, and computer readable media having programs for classifying sports video. In one embodiment, a method includes: extracting, from an audio stream of a video clip, a plurality of key audio components contained therein; and classifying, using at least one of the plurality of key audio components, a sport type contained in the video clip. In one embodiment, a computer readable medium having a computer program for classifying ports video includes: logic configured to extract a plurality of key audio components from a video clip; and logic configured to classify a sport type corresponding to the video clip.

Abstract: Disclosed are systems, methods, and computer readable media having programs for analyzing video. In one embodiment, a method includes: detecting a plurality of whistle sounds in an audio stream of a video; and determining a video content based on a plurality of properties corresponding to the plurality of whistle sounds. In one embodiment a computer readable medium having a computer program for analyzing video includes: logic configured to generate a plurality of whistle sound patterns; logic configured to detect a whistle sound in a video; and logic configured to analyze the video using the whistle sound.

Abstract: Disclosed are systems and methods for identifying a scene in a video or audio source containing sports content. A representative method includes: extracting audio data from a video source, the video source containing sports content, removing from the audio data sounds not producible by human, classifying scenes of the video source as important scenes of the video clip by analyzing the energy, pitch and tonality of at least one frame of the audio data and determining whether the at least one frame is an exciting scene.

Abstract: A method for video program processing includes searching for a static image in a video segment, a static image comprising an image in the video segment that does not significantly change over a predetermined time of the video segment. Upon finding a static image, an indication is given to an image processor that the video segment is a program segment.

Abstract: A playback method includes receiving input image data, displaying a main program based on the input image data on a main frame of the display screen, receiving a command corresponding to an index point which indicates a predetermined event type in the input image data, displaying information of a sub-program corresponding to the index point of the input image data on a sub-frame of the display screen, receiving a command selecting the sub-program displayed on the sub-frame, and after receiving the command selecting the sub-program, displaying information of the sub-program on the main frame.

Abstract: A method for implementing an adaptive mixing energy ratio between at least two soundtracks of video footage in a video image-editing environment is disclosed, the process being transparent to a user beyond a single step of initiation. The method includes applying at least one video/audio analysis technique to a session of video footage, demarcating the footage into a plurality of segments, determining a mixing energy ratio for each of the segments according to the analysis, and interpolating the mixing energy ratios for the segments to produce a mixing energy ratio profile before applying the mixing energy ratio profile to the session of video footage.

Abstract: A method of weeding out repeating patterns, such as commercials, from programs comprises the steps of obtaining at least one data section from an input source, analyzing the data section to find out at least one repeating pattern and automatically tagging each repeating pattern as a video pattern, saving a new video pattern in a video database, executing a post-process procedure for all video patterns in the data section, and executing an output procedure for the data section.