Multimedia Event Detection Using Segment-Based Approach for Motion Feature
نویسندگان
چکیده
منابع مشابه
Multimedia Event Detection Using Segment-Based Approach for Motion Feature
Multimedia event detection has become a popular research topic due to the explosive growth of video data. The motion features in a video are often used to detect events because an event may contain some specific actions or moving patterns. Raw motion features are extracted from the entire video first and then aggregated to form the final S. Phan ( ) · T. D. Ngo The Graduate University for Advan...
متن کاملFeature-Rich Segment-Based News Event Detection on Twitter
Event detection on Twitter is an important and challenging research topic. On the one hand, Twitter provides first-hand information and fast broadcasting. On the other, challenges include short and noisy content, big volume data and fast-changing topics. Dominant approaches for Twitter event detection model events by clustering tweets, words or segments, while segments have been proven to be ad...
متن کاملMotion feature filtering for event detection in crowded scenes
We describe a spatio-temporal feature filtering approach that is appropriate for detecting video events in public scenes containing from many to few people. This non-discrete tracking – or pattern flow analysis – is distinguished by the fact that the usual video processing step of object segmentation is omitted; instead motion features alone are used to detect, follow, and separate activity. Mo...
متن کاملA Motion-Based Feature for Event-Based Pattern Recognition
This paper introduces an event-based luminance-free feature from the output of asynchronous event-based neuromorphic retinas. The feature consists in mapping the distribution of the optical flow along the contours of the moving objects in the visual scene into a matrix. Asynchronous event-based neuromorphic retinas are composed of autonomous pixels, each of them asynchronously generating "spiki...
متن کاملSegment Feature Co-ocurrence Based Texture Detection
This work on texture detection was inspired by the general problem of object recognition in two dimensional still images. One of the crucial challenges associated with the object recognition is selecting and obtaining discriminative features. In analysis of real scenes, like nature or urban places, many objects contain textures, which can be considered as one of the object features. Texture det...
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: Journal of Signal Processing Systems
سال: 2013
ISSN: 1939-8018,1939-8115
DOI: 10.1007/s11265-013-0825-4