Multimedia Indexing and Retrieval II

Dear Colleagues,

Advances in and proliferation of multimedia technologies exponentially increased the number of digital images, videos, audio, and textual information sources, making the creation, management, indexing, retrieval, use, and dissemination of multimedia information a challenge. The broad scope, demand, and applications of multimedia information, including in education, healthcare, entertainment, and security, as well as recent developments in data science, machine learning, and search engines, create conducive conditions and necessitate continuous improvements to multimedia indexing and retrieval systems that meet users’ needs. In addition, the increased demand for and use of multimedia information make their indexing and retrieval a very important area of research. The semantic nature of multimedia indexing and retrieval adds extra layers to the challenge.

Despite recent advances, these challenges still remain. While the extant research on and systems for multimedia indexing and retrieval have employed various methods, including categorization, filtering, and summarizing, the quest for bridging the semantic gap remains a critical and elusive issue. A few of the questions that need to be fully answered include: how can multimodal features be synchronized for indexing and retrieval? How can features with high dimensionality be efficiently indexed to satisfy user needs? How can we ensure retrieval accuracy and relevance to satisfy users’ needs given the vast amount and diversity of data in a multimedia collection?

Advances in relevant technologies have also made it possible for people to expect a better user experience when searching for multimedia information. Hence, human factors and human interface design should also be taken into serious consideration when designing multimedia indexing and retrieval systems. In particular, how to address issues related to multimodal human–computer interfaces and human–computer interactions in multi-media indexing and retrieval needs extra attention.

In light of these challenges, for this Special Issue, you are encouraged to submit insights, opinions, and innovative research work on, but not limited to, the following topics of interest:

• Content-based multimedia indexing and retrieval;
• Intelligent multimedia indexing and retrieval;
• Multimedia semantics;
• Color and texture-based multimedia indexing and retrieval;
• Pattern recognition;
• Computer vision;
• Image/video processing and analysis;
• Speech recognition;
• Evaluation of multimedia indexing and retrieval techniques;
• Human factor in multimedia indexing and retrieval techniques;
• Multimodal human–computer interface.

Dr. Abebe Rorissa
Dr. Xiaojun (Jenny) Yuan
Guest Editors

Manuscript Submission Information

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• multimedia
• indexing
• retrieval
• pattern recognition
• computer vision
• image processing
• video analysis
• speech recognition

• Multimedia Indexing and Retrieval in Technologies (3 articles)