The goals of this workshop are to provide a forum for identifying important contributions and opportunities for research on case-based reasoning as it applies to multimedia data promote the systematic study of how to apply case-based reasoning to images, signals, video, audio, trajectories and data streams show case applications of case-based reasoning on multimedia data. Topics of interest include (but are not limited to):* CBR for signals, images, video, audio and text * Similarity assessment for signals, images, video, audio, and text * Case representation and case mining for multimedia data * Retrieval and indexing of signals, images, video, audio and text * Conversational CBR for multimedia retrieval systems * Meta-learning for model improvement and parameter setting for processing with CBR * Incremental model improvement by CBR * Case base maintenance for systems with multimedia data * Case authoring * Life-time of a CBR system * Measuring coverage of case bases * Analogical reasoning for computer vision, signal processing and others * CBR in robot navigation * CBR for medical applications using multimedia data * CBR for biotechnological applications using multimedia data * CBR for chemical applications using multimedia data Ontology learning with CBR * CBR for image processing applications * CBR for video applications