CBMI aims at bringing together the various communities involved in all aspects of content-based multimedia indexing for retrieval, browsing, management, visualization and analytics.

Authors are encouraged to submit previously unpublished research papers
in the broad field of content-based multimedia indexing and
applications. In addition to multimedia and social media search and
retrieval, we wish to highlight related and equally important issues
that build on content-based indexing, such as multimedia content
management, user interaction and visualization, media analytics, etc.

Topics include (but are not limited to):

• Audio and visual and multimedia indexing;
• Multimodal and cross-modal indexing;
• Deep learning for multimedia indexing;
• Visual content extraction;
• Audio (speech, music, etc) content extraction;
• Identification and tracking of semantic regions and events;
• Social media analysis;
• Metadata generation, coding and transformation;
• Multimedia information retrieval (image, audio, video, text);
• Mobile media retrieval;
• Event-based media processing and retrieval;
• Affective/emotional interaction or interfaces for multimedia retrieval;
• Multimedia data mining and analytics;
• Multimedia recommendation;
• Large scale multimedia database management;
• Summarization, browsing and organization of multimedia content;
• Personalization and content adaptation;
• User interaction and relevance feedback;
• Multimedia interfaces, presentation and visualization tools;
• Evaluation and benchmarking of multimedia retrieval systems;
• Applications of multimedia retrieval, e.g., medicine, lifelogs,
satellite imagery, video surveillance.