Shape-Based Retrieval of Arbitrarily Shaped Video Objects
Mohammed Jassim Mohammed Jassim
Dr. Mohammed Jassim Mohammed Jassim, College of Science and Information Technology, Iraq.
Manuscript received on October 14, 2015. | Revised Manuscript received on October 27, 2015. | Manuscript published on November 05, 2015. | PP: 67-69 | Volume-5 Issue-5, November 2015 . | Retrieval Number: D094071411/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: The increasing availability of object-based video content requires new technologies for automatically extracting and matching of the low level features of arbitrarily shaped video. In this paper, methods for shape retrieval of arbitrarily shaped video objects are proposed. Along with still shape features the shape deformations that may occur in an object’s life span is also taken. In this paper a novel method is used for measuring shape similarities between arbitrarily shaped video objects by comparing the low-level still shape features of the representative frames of the video objects.
Keywords: Object-based, video, extracting, shape similarities, video objects.