Abstract: Content-based analysis is performed on multimedia content prior to encoding the multimedia content in the rendering chain of processing. A content-based index stream is generated based on the content-based analysis and the content-based index stream is embedded in the multimedia file during rendering. The content-based index stream can be used to generate a content-based searchable index when necessary.

Abstract: Content-based analysis is performed on multimedia content prior to encoding the multimedia content in the rendering chain of processing. A content-based index stream is generated based on the content-based analysis and the content-based index stream is embedded in the multimedia file during rendering. The content-based index stream can be used to generate a content-based searchable index when necessary.

Abstract: Content-based analysis is performed on multimedia content prior to encoding the multimedia content in the rendering chain of processing. A content-based index stream is generated based on the content-based analysis and the content-based index stream is embedded in the multimedia file during rendering. The content-based index stream can be used to generate a content-based searchable index when necessary.

Abstract: Content-based analysis is performed on multimedia content prior to encoding the multimedia content in the rendering chain of processing. A content-based index stream is generated based on the content-based analysis and the content-based index stream is embedded in the multimedia file during rendering. The content-based index stream can be used to generate a content-based searchable index when necessary.

Abstract: Content-based analysis is performed on multimedia content prior to encoding the multimedia content in the rendering chain of processing. A content-based index stream is generated based on the content-based analysis and the content-based index stream is embedded in the multimedia file during rendering. The content-based index stream can be used to generate a content-based searchable index when necessary.

Abstract: A generalized discriminative training framework for reconciling the training and evaluation objectives for document similarity is provided. Prior information about document relations and non-relations, are used to discriminatively train an ensemble of document similarity classification models. This result is a model set that can be used to compute similarity between seen documents in the training sets and new documents. The measure of similarity forms the basis of recommending documents to a user as well as being able to obtain metadata information such as keywords and tags for new documents not having such information.

Abstract: Described herein is technology for, among other things, distributed indexing of file content. Content-based indexing the file involves determining whether content-based index information for the file is available from an external source. This avoids repeating already-performed content analysis, which is time consuming and computationally intensive especially for non-text files. The content-based index information, if it is available, is received from the external source and may be stored. If the content-based index information is not available or is not complete, content-based index information for the file is generated and stored. Moreover, the generated content-based index information is shared with the external source. Once content analysis of the file is performed to generate content-based index information for the file, the content-based index information is available and sharable as needed. There is no need to repeat the same content analysis on the file.

Abstract: A generalized discriminative training framework for reconciling the training and evaluation objectives for document similarity is provided. Prior information about document relations and non-relations, are used to discriminatively train an ensemble of document similarity classification models. This result is a model set that can be used to compute similarity between seen documents in the training sets and new documents. The measure of similarity forms the basis of recommending documents to a user as well as being able to obtain metadata information such as keywords and tags for new documents not having such information.

Abstract: Content-based analysis is performed on multimedia content prior to encoding the multimedia content in the rendering chain of processing. A content-based index stream is generated based on the content-based analysis and the content-based index stream is embedded in the multimedia file during rendering. The content-based index stream can be used to generate a content-based searchable index when necessary.