Video Data Classification based on a Video Feature Profile
نویسندگان
چکیده
منابع مشابه
VIDEO CLASSIFICATION BASED ON LOW−LEVEL FEATURE FUSION MODEL (WedPmPO2)
This article presents a new system for automatically extracting high−level video concepts. The novelty of the approach lies in the feature fusion method. The system architecture is divided into three steps. The first step consists in creating sensors from a low−level (color or texture) descriptor, and a Support Vector Machine (SVM) learning to recognize a given concept (for example, "beach" or ...
متن کاملVideo Subject Inpainting: A Posture-Based Method
Despite recent advances in video inpainting techniques, reconstructing large missing regions of a moving subject while its scale changes remains an elusive goal. In this paper, we have introduced a scale-change invariant method for large missing regions to tackle this problem. Using this framework, first the moving foreground is separated from the background and its scale is equalized. Then, a ...
متن کاملA chaos-based video watermarking algorithm
The intriguing characteristics of chaotic maps have prompted researchers to use these sequences in watermarking systems to good effect. In this paper we aim to use a tent map to encrypt the binary logo to achieve a like-noise signal. This approach makes extraction of the watermark signal by potential attacker very hard. Embedding locations are selected based on certain principles. Experimental ...
متن کاملAn Improved Motion Vector Estimation Approach for Video Error Concealment Based on the Video Scene Analysis
In order to enhance the accuracy of the motion vector (MV) estimation and also reduce the error propagation issue during the estimation, in this paper, a new adaptive error concealment (EC) approach is proposed based on the information extracted from the video scene. In this regard, the motion information of the video scene around the degraded MB is first analyzed to estimate the motion type of...
متن کاملFeature-based Video Sequence Identification
This dissertation reports on research, development, and evaluation of a color based video sequence identification and tracking algorithm. We describe an automatic video sequence identification and tracking algorithm that detects and extracts repeated video sequences from a continuous video stream. Because our technique is domain and video source independent, it is applicable to any video stream...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The KIPS Transactions:PartD
سال: 2005
ISSN: 1598-2866
DOI: 10.3745/kipstd.2005.12d.1.031