Near-optimal algorithms for shared filter evaluation in data stream systems
Proceedings of the 2008 ACM SIGMOD international conference on Management of data
Multimedia surrogates for video gisting: Toward combining spoken words and imagery
Information Processing and Management: an International Journal
Color Features Performance Comparison for Image Retrieval
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Narrative theme navigation for sitcoms supported by fan-generated scripts
Multimedia Tools and Applications
| Hi-index | 0.00 |
IBM Multimedia Search and Retrieval System is a Webbased technology that makes digital photos and video searchable through automated classification and indexing [3]. IBM system is unique in that it learns as it goes, helping users search immense multimedia content repositories faster and more effectively than ever before. Marvel uses multi-modal machine learning techniques for bridging the semantic gap for multimedia content analysis and retrieval. It automatically annotates images and videos by recognizing the semantic entities-such as scenes, objects, events, and people-that are depicted in the content.