TY - GEN
T1 - Multimedia content filtering, browsing, and matching using MPEG-7 compact color descriptors
AU - Krishnamachari, Santhana
AU - Yamada, Akio
AU - Abdel-Mottaleb, Mohamed
AU - Kasutani, Eiji
PY - 2000
Y1 - 2000
N2 - This paper presents two compact color feature descriptors that have been accepted to the working draft of MPEG-7, the ongoing activity to standardize multimedia content descriptions. The need for content description arises from the increase in the number of broadcast channels and the availability of a large number of video content over the Internet. Without such descriptions, the average consumer would be left helpless with enormous amount of data and no viable tool to efficiently access the content. MPEG-7 is standardizing descriptions for audio-visual features such as color, shape, and texture, and as well as the higher level semantic features. Here we present two color descriptors that are very compact in size, namely, the compact color histogram descriptor and the compact color layout descriptor. These two descriptors capture complementary characteristics of the color content of images. The compact sizes of these descriptors result in minimal storage and transmission requirements of the image representation. We demonstrate the efficacy of these descriptors for video content filtering, image matching, sketch-based matching and browsing applications.
AB - This paper presents two compact color feature descriptors that have been accepted to the working draft of MPEG-7, the ongoing activity to standardize multimedia content descriptions. The need for content description arises from the increase in the number of broadcast channels and the availability of a large number of video content over the Internet. Without such descriptions, the average consumer would be left helpless with enormous amount of data and no viable tool to efficiently access the content. MPEG-7 is standardizing descriptions for audio-visual features such as color, shape, and texture, and as well as the higher level semantic features. Here we present two color descriptors that are very compact in size, namely, the compact color histogram descriptor and the compact color layout descriptor. These two descriptors capture complementary characteristics of the color content of images. The compact sizes of these descriptors result in minimal storage and transmission requirements of the image representation. We demonstrate the efficacy of these descriptors for video content filtering, image matching, sketch-based matching and browsing applications.
UR - http://www.scopus.com/inward/record.url?scp=84959060230&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84959060230&partnerID=8YFLogxK
U2 - 10.1007/3-540-40053-2_18
DO - 10.1007/3-540-40053-2_18
M3 - Conference contribution
AN - SCOPUS:84959060230
SN - 3540411771
VL - 1929
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 200
EP - 211
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PB - Springer Verlag
T2 - 4th International Conference on Visual Information Systems, VISUAL 2000
Y2 - 2 November 2000 through 4 November 2000
ER -