A study of low-complexity tools for semantic classification of mobile video

Ashok Mariappan; Michael Igarta; Cuneyt Taskiran; Bhavan Gandhi; Edward J. Delp

doi:10.1117/12.643246

10 February 2006 A study of low-complexity tools for semantic classification of mobile video

Ashok Mariappan, Michael Igarta, Cuneyt Taskiran, Bhavan Gandhi, Edward J. Delp

Proceedings Volume 6074, Multimedia on Mobile Devices II; 607408 (2006) https://doi.org/10.1117/12.643246
Event: Electronic Imaging 2006, 2006, San Jose, California, United States

Abstract

With the proliferation of cameras in handheld devices that allows users to capture still images and videos, providing users with software tools to efficiently manage multimedia content has become essential. In many cases users desire to organize their personal media content using high-level semantic labels. In this paper we will describe low-complexity algorithms that can be used to derive semantic labels, such as "indoor/outdoor," "face/not face," and "motion/not motion" for mobile video sequences. We will also describe a method for summarizing mobile video sequences. We demonstrate the classification performance of the methods and their computational complexity using a typical processor used in many mobile terminals.

Citation Download Citation

Ashok Mariappan, Michael Igarta, Cuneyt Taskiran, Bhavan Gandhi, and Edward J. Delp "A study of low-complexity tools for semantic classification of mobile video", Proc. SPIE 6074, Multimedia on Mobile Devices II, 607408 (10 February 2006); https://doi.org/10.1117/12.643246

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KEYWORDS

Video

Skin

Databases

Facial recognition systems

Semantic video

Classification systems

Image classification

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