Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for ranking videos. The program and method include storing, in a database, a plurality of videos; obtaining, for a first of the plurality of videos, first data representing a first interaction performed by a creator of the first video in association with the first video; and obtaining, for the first video, second data representing a second interaction performed by a consumer of the first video in association with the first video. A score is computed for the first video based on the first and second data and the first video is ranked relative to a remaining subset of the plurality of videos by comparing the computed score for the first video with respective scores of videos in the remaining subset of the plurality of videos.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for ranking videos. The program and method include storing, in a database, a plurality of videos; obtaining, for a first of the plurality of videos, first data representing a first interaction performed by a creator of the first video in association with the first video; and obtaining, for the first video, second data representing a second interaction performed by a consumer of the first video in association with the first video. A score is computed for the first video based on the first and second data and the first video is ranked relative to a remaining subset of the plurality of videos by comparing the computed score for the first video with respective scores of videos in the remaining subset of the plurality of videos.

Abstract: Various embodiments provide for systems, methods, and computer-readable storage media for annotating a collection of media items, such as digital images. According to some embodiments, an annotation system automatically determines one or more annotations for a plurality of media content items, and generates a collection of media content items that associates the determined annotations with the plurality of media content items. Depending on the embodiment, annotations that may be determined for the plurality of media content (and associated with the collection for the media content items) can include, without limitation, a caption, a geographic location, a category, a novelty measurement, an event, and a highlight media content item representing the collection.

Abstract: Aspects of the present disclosure involve a system comprising a computer-readable storage medium storing at least one program and a method for ranking videos. The program and method include storing, in a database, a plurality of videos; obtaining, for a first of the plurality of videos, first data representing a first interaction performed by a creator of the first video in association with the first video; and obtaining, for the first video, second data representing a second interaction performed by a consumer of the first video in association with the first video. A score is computed for the first video based on the first and second data and the first video is ranked relative to a remaining subset of the plurality of videos by comparing the computed score for the first video with respective scores of videos in the remaining subset of the plurality of videos.

Abstract: Various embodiments provide for systems, methods, and computer-readable storage media for annotating a collection of media items, such as digital images. According to some embodiments, an annotation system automatically determines one or more annotations for a plurality of media content items, and generates a collection of media content items that associates the determined annotations with the plurality of media content items. Depending on the embodiment, annotations that may be determined for the plurality of media content (and associated with the collection for the media content items) can include, without limitation, a caption, a geographic location, a category, a novelty measurement, an event, and a highlight media content item representing the collection.

Abstract: Systems and methods are described that can provide users with personalized video content feeds. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. The additional information obtained by linking a video segment to an additional source of data can be utilized in the generation of personalized playlists. In the context of news programming, the dynamic mixing and aggregation of news videos from multiple sources can greatly enrich the news watching experience. In several embodiments, processes for linking video segments to additional sources of data can be implemented as part of a video search engine service.

Abstract: Next-generation media consumption is likely to be more personalized, device agnostic, and pooled from many different sources. Systems and methods in accordance with embodiments of the invention can provide users with personalized video content feeds providing the video content that matters most to them. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. In many embodiments, video clips from video segments can be ordered and concatenated based on importance in order to generate news briefs.

Abstract: Systems and methods are described that can provide users with personalized video content feeds. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. The additional information obtained by linking a video segment to an additional source of data can be utilized in the generation of personalized playlists. In the context of news programming, the dynamic mixing and aggregation of news videos from multiple sources can greatly enrich the news watching experience. In several embodiments, processes for linking video segments to additional sources of data can be implemented as part of a video search engine service.

Abstract: Systems and methods are described that can provide users with personalized video content feeds. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. The additional information obtained by linking a video segment to an additional source of data can be utilized in the generation of personalized playlists. In the context of news programming, the dynamic mixing and aggregation of news videos from multiple sources can greatly enrich the news watching experience. In several embodiments, processes for linking video segments to additional sources of data can be implemented as part of a video search engine service.

Abstract: Systems and methods are described that can provide users with personalized video content feeds. In several embodiments, a multi-modal segmentation process is utilized that relies upon cues derived from video, audio and/or text data present in a video data stream. In a number of embodiments, video streams from a variety of sources are segmented. Links are identified between video segments and between video segments and online articles containing additional information relevant to the video segments. The additional information obtained by linking a video segment to an additional source of data can be utilized in the generation of personalized playlists. In the context of news programming, the dynamic mixing and aggregation of news videos from multiple sources can greatly enrich the news watching experience. In several embodiments, processes for linking video segments to additional sources of data can be implemented as part of a video search engine service.