Movie tags prediction and segmentation using deep learning
The sheer volume of movies generated these days requires an automated analytics for
efficient classification, query-based search, and extraction of desired information. These …
efficient classification, query-based search, and extraction of desired information. These …
A framework for video segmentation using global and local features
Rapid increase in video databases has forced the industry to have efficient and effective
frameworks for video retrieval and indexing. Video segmentation into scenes is widely used …
frameworks for video retrieval and indexing. Video segmentation into scenes is widely used …
Video scene detection using compact bag of visual word models
Video segmentation into shots is the first step for video indexing and searching. Videos
shots are mostly very small in duration and do not give meaningful insight of the visual …
shots are mostly very small in duration and do not give meaningful insight of the visual …
BIG-OH: BInarization of gradient orientation histograms
Extracting local keypoints and keypoint descriptions from images is a primary step for many
computer vision and image retrieval applications. In the literature, many researchers have …
computer vision and image retrieval applications. In the literature, many researchers have …
KS-SIFT: a keyframe extraction method based on local features
TTDS Barbieri, R Goularte - 2014 IEEE International …, 2014 - ieeexplore.ieee.org
In this work we propose a new key frame extraction method based on SIFT local features.
We extracted feature vectors from a carefully selected group of frames from a video shot …
We extracted feature vectors from a carefully selected group of frames from a video shot …
MAC-REALM: a video content feature extraction and modelling framework
M Parmar, MC Angelides - The Computer Journal, 2015 - ieeexplore.ieee.org
This paper discusses MAC-REALM, a framework for extraction of syntactic and semantic
content features and content modelling with either little or no user interaction. The framework …
content features and content modelling with either little or no user interaction. The framework …
Bag of visual words model for videos segmentation into scenes
With the advancement in multimedia technologies, the video databases are exponentially
increasing in size which are creating many challenges for efficient indexing and retrieval of …
increasing in size which are creating many challenges for efficient indexing and retrieval of …
Shot-HR: a video shot representation method based on visual features
TTS Barbieri, TH Trojahn, MP Ponti-Jr… - Proceedings of the 30th …, 2015 - dl.acm.org
One of the main approaches for video scene segmentation is based on shot clustering.
However, shot characterization has been left in background by researches related to video …
However, shot characterization has been left in background by researches related to video …
Effective compression of center symmetric local Binary Pattern
In this paper, we propose simple and effective compression of CSLBP (Center Symmetric
Local Binary Pattern) descriptors, which is a textured based operator and mostly used as key …
Local Binary Pattern) descriptors, which is a textured based operator and mostly used as key …
[PDF][PDF] Real-Time Conceptual Video Interpretation for Surveillance Systems using Euclidean Norms.
Abstract Information retrieval is intended to help people who are constantly looking for
information. Partitioning the video into frames is the first stage in video information retrieval …
information. Partitioning the video into frames is the first stage in video information retrieval …