Abstract: Various embodiments are disclosed for detecting facial regions in a plurality of images. In one embodiment, a method comprises assigning at least one of the possible facial regions an assurance factor, forming clusters of possible facial regions based on a connection factor between the facial regions, and determining facial regions from the possible facial regions based on the assurance factor and the clusters of possible facial regions.

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: Various systems and methods are described for tagging photos of individuals. A plurality of facial regions is detected from a plurality of images. The images are grouped based on similarities between the facial regions within the plurality of images. Tagging data associated with one or more of the clusters is received, and based on comparing the untagged clusters with tagged clusters, untagged clusters are tagged.

Abstract: One embodiment, among others, is a method for clustering a plurality of images, wherein the plurality of images comprises faces of a plurality of individuals. The method comprises arranging the plurality of images associated with a plurality of individuals into a plurality of subgroups for each individual based on time stamps associated with the plurality of images, wherein the plurality of images are arranged according to increments of a time interval. The method further comprises determining whether adjacent subgroups are correlated and forming groups comprising correlated subgroups. Based on correlations between adjacent groups, the groups are associated with a particular individual.

Abstract: Various embodiments are disclosed for detecting facial regions in a plurality of images. In one embodiment, a method comprises assigning at least one of the possible facial regions an assurance factor, forming clusters of possible facial regions based on a connection factor between the facial regions, and determining facial regions from the possible facial regions based on the assurance factor and the clusters of possible facial regions.

Abstract: One embodiment, among others, is a method for clustering a plurality of images, wherein the plurality of images comprises faces of a plurality of individuals. The method comprises arranging the plurality of images associated with a plurality of individuals into a plurality of subgroups for each individual based on time stamps associated with the plurality of images, wherein the plurality of images are arranged according to increments of a time interval. The method further comprises determining whether adjacent subgroups are correlated and forming groups comprising correlated subgroups. Based on correlations between adjacent groups, the groups are associated with a particular individual.

Abstract: One embodiment, among others, is a method for clustering a plurality of images, wherein the plurality of images comprises faces of a plurality of individuals. The method comprises arranging the plurality of images associated with a plurality of individuals into a plurality of subgroups for each individual based on time stamps associated with the plurality of images, wherein the plurality of images are arranged according to increments of a time interval. The method further comprises determining whether adjacent subgroups are correlated and forming groups comprising correlated subgroups. Based on correlations between adjacent groups, the groups are associated with a particular individual.

Abstract: Various systems and methods are described for tagging photos of individuals. A plurality of facial regions is detected from a plurality of images. The images are grouped based on similarities between the facial regions within the plurality of images. Tagging data associated with one or more of the clusters is received, and based on comparing the untagged clusters with tagged clusters, untagged clusters are tagged.

Abstract: One embodiment, among others, is a method for clustering a plurality of images, wherein the plurality of images comprises faces of a plurality of individuals. The method comprises arranging the plurality of images associated with a plurality of individuals into a plurality of subgroups for each individual based on time stamps associated with the plurality of images, wherein the plurality of images are arranged according to increments of a time interval. The method further comprises determining whether adjacent subgroups are correlated and forming groups comprising correlated subgroups. Based on correlations between adjacent groups, the groups are associated with a particular individual.

Abstract: In a method capable of notifying and buffering predetermined events in a program, a first program is broadcast on a first channel. While broadcasting the first programs, it is determined whether a predetermined event occurs in a second program broadcast on a second channel. If the predetermined event occurs in the second program, related contents of the predetermined event are buffered and a notification message is displayed on the first channel.

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.