Accurate video tagging has been becoming increasingly crucial for online video
management and search. This article documents a novel framework called comprehensive …

Energy efficiency is considered to be a critical concern for modern hardware and a variety of
hardware features have been developed to improve the energy balance for executing …

Image annotation has been identified to be a suitable means by which the semantic gap
which has made the accuracy of Content-based image retrieval unsatisfactory be eliminated …

Classifiers for primitive visual concepts like" car"," sky" have been well developed and
widely used to support video search on simple queries. However, it is usually ineffective for …

Extracting informative representations from videos is fundamental for effectively learning
various downstream tasks. We present a novel approach for unsupervised learning of …

Many mid-level representations have been developed to replace traditional bag-of-words
model (VQ+ k-means) such as sparse coding, OMP-k with k-SVD, and fisher vector with …

Learning video concept detectors from social media sources, such as Flickr images and
YouTube videos, has the potential to address a wide variety of concept queries for video …

State-of-the-art systems for video concept detection mainly rely on visual features. Some
previous approaches have also included audio features, either using low-level features such …

Visual concept detection and action recognition are one of the most important tasks in
content-based multimedia information retrieval (CBMIR) technology. It aims at annotating …

One of the main challenges in interactive concept-based video search is the problem of
insufficient relevant samples, especially for queries with complex semantics. In this …