Recent Advances and Challenges of Semantic Image/Video Search

We present an overview of recent advances and major challenges in image and video search, with a specific focus on large-scale semantic concept detection and indexing. Such semantic indexing paradigm has been driven by the increasing availability of the large resources of corpora, novel labeling approaches, innovative image features, and machine learning techniques for visual content recognition. We will discus key approaches, recent results, and novel applications in text-to-concept semantic search and multi-modal retrieval models. Open issues and major opportunities are also presented.