Abstract: A classifier may be integrated into a pipeline of a general web crawler. The classifier may classify crawled webpages as either video pages or non-video pages. Video pages and information regarding domain importance may be aggregated. Ones of the domains of the video pages may be selected based on domain importance rankings. Webpages of the selected domains may be randomly sampled. The sampled webpages may be structurally analyzed and hint information may be generated with respect to each of the selected domains. The hint information may guide a deep crawling operation for discovering all video pages within the selected domains. Video links within the video pages may be found, one or more videos may be downloaded, and one or more representations of the one or more videos may be indexed.

Abstract: Search queries for images are received from users. An original order of responsive images to the query is determined. Duplicate images and words associated with the duplicate images are identified for each of the responsive images. Common words associated with the duplicate images are identified. The responsive images are annotated with the common words and an annotated order is determined. A re-ranked order is determined based on the original order and the annotated order. Responsive images are presented to the user in the re-ranked order.

Abstract: Anchor images and information associated therewith are accumulated during a Web crawling operation. One or more rules are applied to the accumulated candidate anchor images to filter out candidate anchor images that are not appropriate for use as the anchor image for a particular target video. The remaining candidate anchor image is then selected as the anchor image for the particular video.

Abstract: Video entity templates defining common features that relate to various metadata types shared among a group of video Web pages are generated for target Web sites. Metadata associated with videos contained within Web pages belonging to a particular target Web site can then be automatically and accurately extracted using a video entity template generated for the particular target Web site. This metadata can then be indexed for use by video search applications in providing video search results.

Abstract: A classifier may be integrated into a pipeline of a general web crawler. The classifier may classify crawled webpages as either video pages or non-video pages. Video pages and information regarding domain importance may be aggregated. Ones of the domains of the video pages may be selected based on domain importance rankings. Webpages of the selected domains may be randomly sampled. The sampled webpages may be structurally analyzed and hint information may be generated with respect to each of the selected domains. The hint information may guide a deep crawling operation for discovering all video pages within the selected domains. Video links within the video pages may be found, one or more videos may be downloaded, and one or more representations of the one or more videos may be indexed.